{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dhj50n2iVNjE"
      },
      "source": [
        "```{index} single: AMPL; AMPL Python API\n",
        "```\n",
        "```{index} single: AMPL MP Library\n",
        "```\n",
        "```{index} single: conic optimization; exponential cones\n",
        "```\n",
        "```{index} single: solver; mosek\n",
        "```\n",
        "```{index} single: application; portfolio\n",
        "```\n",
        "\n",
        "# Extra material: Optimal Growth Portfolios with Risk Aversion\n",
        "\n",
        "Among the reasons why Kelly was neglected by investors were high profile critiques by the most famous economist of the 20th Century, Paul Samuelson. Samuelson objected on several grounds, among them is a lack of risk aversion that results in large bets and risky short term behavior, and that Kelly's result is applicable to only one of many utility functions that describe investor preferences. The controversy didn't end there, however, as other academic economists, including Harry Markowitz, and practitioners found ways to adapt the Kelly criterion to investment funds.\n",
        "\n",
        "This notebook presents solutions to Kelly's problem for optimal growth portfolios using exponential cones. A significant feature of this notebook is the inclusion of a risk constraint recently proposed by Boyd and coworkers. These notes are based on recent papers such as Cajas (2021), Busseti, Ryu and Boyd (2016), Fu, Narasimhan, and Boyd (2017). Additional bibliographic notes are provided at the end of the notebook."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84,
          "referenced_widgets": [
            "f93d6169f4624b75943f9ae6d7674df0",
            "ed9f8fca22f743129efedf5b2eb23096",
            "565f01fee2444a7dae4e71e8dba362ba",
            "190e9c17aff1438f9dd9a7f2b541d2fe",
            "77b8e2a3f2c14f1c8fc7d7bd7ea013d7",
            "4760d0831a4246479221e4bc7b10242b",
            "6467659dc8924f1a9642ee682c9ed204",
            "4ea75a1ec7b04902b1cb512fee323460",
            "7c92be8f016e41408264039cfb945969",
            "746648ddb6394397928c783a969105df",
            "850b154ef1544f3b8571ec21a36ff801",
            "d261b865ffe347c5b8386572edf3a99d",
            "80877024227a4a9eb0efeaa44469a419"
          ]
        },
        "id": "ttcq9lkGgxjM",
        "outputId": "8016f8d3-3122-4871-e3ad-ae886572db5f"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f93d6169f4624b75943f9ae6d7674df0",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "VBox(children=(Output(), HBox(children=(Text(value='', description='License UUID:', style=DescriptionStyle(des…"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# install dependencies and select solver\n",
        "%pip install -q amplpy numpy pandas matplotlib\n",
        "\n",
        "SOLVER_CONIC = \"mosek\"  # ipopt, mosek, knitro\n",
        "SOLVER_NLO = \"ipopt\"\n",
        "\n",
        "from amplpy import AMPL, ampl_notebook\n",
        "\n",
        "ampl = ampl_notebook(\n",
        "    modules=[\"coin\", \"mosek\"],  # modules to install\n",
        "    license_uuid=\"default\",  # license to use\n",
        ")  # instantiate AMPL object and register notebook magic"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "u27GEoSKgxjN"
      },
      "source": [
        "## Financial Data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nP7Bv9yegxjN"
      },
      "source": [
        "We begin by reading historical prices for a selected set of trading symbols using [yfinance](https://github.com/ranaroussi/yfinance).\n",
        "\n",
        "While it would be interesting to include an international selection of financial indices and assets, differences in trading and bank holidays would involve more elaborate coding. For that reason, the following cell has been restricted to indices and assets trading in U.S. markets."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "0BWLcgjygxjO"
      },
      "outputs": [],
      "source": [
        "# run this cell to install yfinance\n",
        "%pip install yfinance --upgrade -q"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FBvNB1M3gxjO",
        "outputId": "fee0f029-e752-452c-f7b4-1d699fdf775f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "[*********************100%***********************]  16 of 16 completed\n"
          ]
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "import pandas as pd\n",
        "import datetime\n",
        "import yfinance as yf\n",
        "\n",
        "# symbols as used by Yahoo Finance\n",
        "symbols = {\n",
        "    # selected indices\n",
        "    \"^GSPC\": \"S&P 500\",\n",
        "    \"^IXIC\": \"Nasdaq\",\n",
        "    \"^DJI\": \"Dow Jones Industrial\",\n",
        "    \"^RUT\": \"Russell 2000\",\n",
        "    # selected stocks\n",
        "    \"AXP\": \"American Express\",\n",
        "    \"AMGN\": \"Amgen\",\n",
        "    \"AAPL\": \"Apple\",\n",
        "    \"BA\": \"Boeing\",\n",
        "    \"CAT\": \"Caterpillar\",\n",
        "    \"CVX\": \"Chevron\",\n",
        "    \"JPM\": \"JPMorgan Chase\",\n",
        "    \"MCD\": \"McDonald's\",\n",
        "    \"MMM\": \"3 M\",\n",
        "    \"MSFT\": \"Microsoft\",\n",
        "    \"PG\": \"Proctor & Gamble\",\n",
        "    \"XOM\": \"ExxonMobil\",\n",
        "}\n",
        "\n",
        "# years of testing and training data\n",
        "n_test = 1\n",
        "n_train = 2\n",
        "\n",
        "# get today's date\n",
        "today = datetime.datetime.today().date()\n",
        "\n",
        "# Fix the day for consistent output and testing\n",
        "today = datetime.datetime(2023, 6, 6).date()\n",
        "\n",
        "# training data dates\n",
        "end = today - datetime.timedelta(int(n_test * 365))\n",
        "start = end - datetime.timedelta(int((n_test + n_train) * 365))\n",
        "\n",
        "# get training data\n",
        "S = yf.download(list(symbols.keys()), start=start, end=end, auto_adjust=True)[\"Close\"]\n",
        "\n",
        "# compute gross returns\n",
        "R = S / S.shift(1)\n",
        "R.dropna(inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "id": "w6bkptl6gxjP",
        "outputId": "79f11a29-2e77-4a83-9719-0829745a01eb"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# plot\n",
        "fig, ax = plt.subplots(2, 1, figsize=(8, 6), sharex=True)\n",
        "\n",
        "S.divide(S.iloc[0] / 100).plot(ax=ax[0], grid=True, title=\"Normalized Prices\")\n",
        "ax[0].legend(loc=\"center left\", bbox_to_anchor=(1.0, 0.5), prop={\"size\": 8})\n",
        "\n",
        "R.plot(ax=ax[1], grid=True, title=\"Gross Returns\", alpha=0.5).legend([])\n",
        "\n",
        "fig.tight_layout()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QpUuSsQAVZy3",
        "tags": []
      },
      "source": [
        "## Portfolio Design for Optimal Growth"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TzoPNJ-7gxjQ"
      },
      "source": [
        "### Model\n",
        "\n",
        "Here we are examining a set $N$ of financial assets trading in efficient markets. The historical record consists of a matrix $R \\in \\mathbb{R}^{T\\times N}$ of gross returns where $T$ is the number of observations.\n",
        "\n",
        "The weights $w_n \\geq 0$ for $n\\in N$ denote the fraction of the portfolio invested in asset $n$. Any portion of the portfolio not invested in traded assets is assumed to have a gross risk-free return $R_f = 1 + r_f$, where $r_f$ is the return on a risk-free asset.\n",
        "\n",
        "Assuming the gross returns are independent and identically distributed random variables, and the historical data set is representative of future returns, the investment model becomes\n",
        "\n",
        "$$\n",
        "\\begin{align}\n",
        "\\max_{w_n \\geq 0}\\quad & \\frac{1}{T} \\sum_{t\\in T} \\log(R_t) \\\\\n",
        "\\text{s.t.}\\quad \\\\\n",
        "& R_t = R_f + \\sum_{n\\in N} w_n (R_{t, n} - R_f) & \\forall t\\in T\\\\\n",
        "\\end{align}\n",
        "$$\n",
        "\n",
        "Note this formulation allows the sum of weights $\\sum_{n\\in N} w_n$ to be greater than one. In that case the investor would be investing more than the value of the portfolio in traded assets. In other words the investor would be creating a leveraged portfolio by borrowing money at a rate $R_f$. To incorporate a constraint on the degree of leveraging, we introduce a constraint\n",
        "\n",
        "$$\\sum_{n\\in N} w_n \\leq E_M$$\n",
        "\n",
        "where $E_M$ is the \"equity multiplier.\" A value $E_M \\leq 1$ restricts the total investment to be less than or equal to the equity available to the investor. A value $E_M > 1$ allows the investor to leverage the available equity by borrowing money at a gross rate $R_f = 1 + r_f$.\n",
        "\n",
        "Using techniques demonstrated in other examples, this model can be reformulated with exponential cones.\n",
        "\n",
        "$$\n",
        "\\begin{align}\n",
        "\\max_{w_n}\\quad & \\frac{1}{T} \\sum_{t\\in T} q_t \\\\\n",
        "\\text{s.t.}\\quad\n",
        "& (R_f + \\sum_{n\\in N}w_n (R_{t,n} - R_f), 1, q_t) \\in K_{exp} & \\forall t \\in T \\\\\n",
        "& \\sum_{n\\in N} w_n \\leq E_M \\\\\n",
        "& w_n \\geq 0  & \\forall n\\in N \\\\\n",
        "\\end{align}\n",
        "$$\n",
        "\n",
        "For the risk constrained case, we consider a constraint\n",
        "\n",
        "$$\\mathbb{E}[R^{-\\lambda}] \\leq R_f^{-\\lambda}$$\n",
        "\n",
        "where $\\lambda$ is a risk aversion parameter. Assuming the historical returns are equiprobable\n",
        "\n",
        "$$\\frac{1}{T} \\sum_{t\\in T} R_t^{-\\lambda} \\leq R_f^{-\\lambda}$$\n",
        "\n",
        "The risk constraint is satisfied for any $w_n$ if the risk aversion parameter $\\lambda=0$. For any value $\\lambda > 0$ the risk constraint has a feasible solution $w_n=0$ for all $n \\in N$. Recasting as a sum of exponentials,\n",
        "\n",
        "$$\\frac{1}{T} \\sum_{t\\in T} e^{- \\lambda\\log(R_t)} \\leq R_f^{-\\lambda}$$\n",
        "\n",
        "Using the $q_t \\leq \\log(R_t)$ as used in the examples above, and $u_t \\geq e^{- \\lambda q_t}$, we get the risk constrained model optimal log growth.\n",
        "\n",
        "Given a risk-free rate of return $R_f$, a maximum equity multiplier $E_M$, and value $\\lambda \\geq 0$ for the risk aversion, risk constrained Kelly portfolio is given the solution to\n",
        "\n",
        "$$\n",
        "\\begin{align}\n",
        "\\max_{w_n, q_t, u_t}\\quad & \\frac{1}{T} \\sum_{t\\in T} q_t \\\\\n",
        "\\text{s.t.}\\quad\n",
        "& \\frac{1}{T} \\sum_{t\\in T} u_t \\leq R_f^{-\\lambda} \\\\\n",
        "& (u_t, 1, \\lambda q_t) \\in K_{exp} & \\forall t\\in T \\\\\n",
        "& (R_f + \\sum_{n\\in N}w_n (R_{t,n} - R_f), 1, q_t) \\in K_{exp} & \\forall t \\in T \\\\\n",
        "& \\sum_{n\\in N} w_n \\leq E_M \\\\\n",
        "& w_n \\geq 0 & \\forall n \\in N \\\\\n",
        "\\end{align}\n",
        "$$\n",
        "\n",
        "The following cells demonstrate an AMPL implementation of the model with the Mosek solver."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zVRNNuJhgxjQ"
      },
      "source": [
        "### AMPL Implementation\n",
        "\n",
        "The AMPL implementation for the risk-constrained Kelly portfolio accepts three parameters, the risk-free gross returns $R_f$, the maximum equity multiplier, and the risk-aversion parameter."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QznilV3tgxjQ",
        "outputId": "66ede5ff-688c-498f-e9ad-bdb2d78a69ce"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Overwriting kelly_portfolio.mod\n"
          ]
        }
      ],
      "source": [
        "%%writefile kelly_portfolio.mod\n",
        "\n",
        "param Rf;\n",
        "param EM;\n",
        "param lambd;\n",
        "\n",
        "# index lists\n",
        "set T;\n",
        "set N;\n",
        "param Rloc{T, N};\n",
        "\n",
        "# decision variables\n",
        "var q{T};\n",
        "var w{N} >= 0;\n",
        "\n",
        "# objective\n",
        "maximize ElogR:\n",
        "    sum {t in T} q[t] / card(T);\n",
        "\n",
        "# conic constraints on return\n",
        "var R{t in T}\n",
        "    = Rf + sum {n in N} w[n]*(Rloc[t, n] - Rf);\n",
        "s.t. C{t in T}:\n",
        "    R[t] >= exp(q[t]);\n",
        "\n",
        "# risk constraints\n",
        "var u{T};\n",
        "s.t. USum:\n",
        "    sum {t in T} u[t] / card(T) <= Rf**(-lambd);\n",
        "s.t. RT{t in T}:\n",
        "    u[t] >= exp( -lambd*q[t] );\n",
        "\n",
        "# equity multiplier constraint\n",
        "s.t. WSum:\n",
        "    sum {n in N} w[n] <= EM;\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "bhOSELTsgxjR"
      },
      "outputs": [],
      "source": [
        "def kelly_portfolio(R, Rf=1, EM=1, lambd=0):\n",
        "    ampl = AMPL()\n",
        "    ampl.read(\"kelly_portfolio.mod\")\n",
        "\n",
        "    ampl.param[\"Rf\"] = Rf\n",
        "    ampl.param[\"EM\"] = EM\n",
        "    ampl.param[\"lambd\"] = lambd\n",
        "\n",
        "    # index lists\n",
        "    ampl.set[\"T\"] = [str(t) for t in R.index]\n",
        "    ampl.set[\"N\"] = [str(n) for n in R.columns]\n",
        "    ampl.param[\"Rloc\"] = {\n",
        "        (str(t), str(n)): R.at[t, n]\n",
        "        for i, t in enumerate(R.index)\n",
        "        for j, n in enumerate(R.columns)\n",
        "    }\n",
        "\n",
        "    ampl.solve(solver=SOLVER_CONIC)\n",
        "    assert ampl.solve_result == \"solved\", ampl.solve_result\n",
        "\n",
        "    return ampl"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "xMDmx2aTgxjR"
      },
      "outputs": [],
      "source": [
        "def kelly_report(ampl):\n",
        "    # print report\n",
        "    s = f\"\"\"\n",
        "Risk Free Return = {100*(np.exp(252*np.log(ampl.get_value('Rf'))) - 1):0.2f}\n",
        "Equity Multiplier Limit = {ampl.get_value('EM'):0.5f}\n",
        "Risk Aversion = {ampl.get_value('lambd'):0.5f}\n",
        "\n",
        "Portfolio\n",
        "\"\"\"\n",
        "    w = ampl.get_variable(\"w\").to_dict()\n",
        "    Rvar = ampl.get_variable(\"R\").to_dict()\n",
        "\n",
        "    s += \"\\n\".join([f\"{n:8s} {symbols[n]:30s}  {100*w[n]:8.2f} %\" for n in w.keys()])\n",
        "    s += f\"\"\"\n",
        "{'':8s} {'Risk Free':30s}  {100*(1 - sum(w[n] for n in w.keys())):8.2f} %\n",
        "\n",
        "Annualized return = {100*(np.exp(252*ampl.get_value('ElogR')) - 1):0.2f} %\n",
        "\"\"\"\n",
        "    print(s)\n",
        "\n",
        "    df = pd.DataFrame(\n",
        "        pd.Series([Rvar[str(t)] for t in R.index]), columns=[\"Kelly Portfolio\"]\n",
        "    )\n",
        "    df.index = R.index  ## original index are the DateTimeStamps\n",
        "\n",
        "    fix, ax = plt.subplots(1, 1, figsize=(8, 8))\n",
        "    S.divide(S.iloc[0] / 100).plot(\n",
        "        ax=ax,\n",
        "        logy=True,\n",
        "        grid=True,\n",
        "        title=\"Normalized Prices\",\n",
        "        alpha=0.6,\n",
        "        lw=0.4,\n",
        "        ls=\"--\",\n",
        "    )\n",
        "    df.cumprod().multiply(100).plot(ax=ax, lw=3, grid=True)\n",
        "    ax.legend(\n",
        "        [symbols[n] for n in R.columns] + [\"Kelly Portfolio\"],\n",
        "        bbox_to_anchor=(1.05, 1.05),\n",
        "    )\n",
        "\n",
        "    d = S.index[-1]\n",
        "    print(d)\n",
        "\n",
        "    for n in w.keys():\n",
        "        y = 100 * S[n].iloc[-1] / S[n].iloc[0]\n",
        "        print(n, 100 * S[n].iloc[-1] / S[n].iloc[0])\n",
        "        ax.text(d, y, n)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "3wBrv4_MgxjR",
        "outputId": "bae85f12-79b0-46e5-cfae-d5094c773b65"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060801\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "\n",
            "Risk Free Return = 0.00\n",
            "Equity Multiplier Limit = 1.00000\n",
            "Risk Aversion = 10.00000\n",
            "\n",
            "Portfolio\n",
            "AAPL     Apple                              57.78 %\n",
            "AMGN     Amgen                               0.00 %\n",
            "AXP      American Express                    0.00 %\n",
            "BA       Boeing                              0.00 %\n",
            "CAT      Caterpillar                        18.98 %\n",
            "CVX      Chevron                             0.00 %\n",
            "JPM      JPMorgan Chase                      0.00 %\n",
            "MCD      McDonald's                          0.00 %\n",
            "MMM      3 M                                 0.00 %\n",
            "MSFT     Microsoft                           0.00 %\n",
            "PG       Proctor & Gamble                    0.00 %\n",
            "XOM      ExxonMobil                          0.00 %\n",
            "^DJI     Dow Jones Industrial                0.00 %\n",
            "^GSPC    S&P 500                             0.00 %\n",
            "^IXIC    Nasdaq                              0.00 %\n",
            "^RUT     Russell 2000                        0.00 %\n",
            "         Risk Free                          23.25 %\n",
            "\n",
            "Annualized return = 32.44 %\n",
            "\n",
            "2022-06-03 00:00:00\n",
            "AAPL 313.3368156025014\n",
            "AMGN 154.57372350246345\n",
            "AXP 143.59717759289532\n",
            "BA 40.08344979462141\n",
            "CAT 193.133774726556\n",
            "CVX 168.9876904185413\n",
            "JPM 130.3193283875675\n",
            "MCD 129.63433059501864\n",
            "MMM 97.33191412826508\n",
            "MSFT 211.75258119575005\n",
            "PG 144.29055289517913\n",
            "XOM 159.3967047379955\n",
            "^DJI 126.61551678143734\n",
            "^GSPC 142.9882963168018\n",
            "^IXIC 155.1611360900202\n",
            "^RUT 124.34379721298355\n"
          ]
        },
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# parameter values\n",
        "Rf = np.exp(np.log(1.0) / 252)\n",
        "EM = 1\n",
        "lambd = 10\n",
        "\n",
        "m = kelly_portfolio(R, Rf, EM, lambd)\n",
        "kelly_report(m)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 344
        },
        "id": "2gewKgF4gxjR",
        "outputId": "84227a48-a8a2-4058-8821-e43ee3184e60"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "summary": "{\n  \"name\": \"S\",\n  \"rows\": 755,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2019-06-07 00:00:00\",\n        \"max\": \"2022-06-03 00:00:00\",\n        \"num_unique_values\": 755,\n        \"samples\": [\n          \"2020-08-03 00:00:00\",\n          \"2021-07-23 00:00:00\",\n          \"2019-08-02 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AAPL\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 39.349211748029354,\n        \"min\": 45.72462844848633,\n        \"max\": 178.8799285888672,\n        \"num_unique_values\": 748,\n        \"samples\": [\n          138.86392211914062,\n          112.08760070800781,\n          67.75534057617188\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": 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\"num_unique_values\": 740,\n        \"samples\": [\n          91.77165222167969,\n          80.61544799804688,\n          60.617977142333984\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"JPM\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 23.720644268542564,\n        \"min\": 68.48095703125,\n        \"max\": 157.1210479736328,\n        \"num_unique_values\": 743,\n        \"samples\": [\n          149.1360321044922,\n          144.79690551757812,\n          129.4554901123047\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"MCD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 24.867836090303715,\n        \"min\": 122.1720199584961,\n        \"max\": 250.3937530517578,\n        \"num_unique_values\": 738,\n        \"samples\": [\n          183.1073760986328,\n          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\"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4003.543116708136,\n        \"min\": 18591.9296875,\n        \"max\": 36799.6484375,\n        \"num_unique_values\": 753,\n        \"samples\": [\n          34220.359375,\n          36231.66015625,\n          29872.470703125\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"^GSPC\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 640.2356454805018,\n        \"min\": 2237.39990234375,\n        \"max\": 4796.56005859375,\n        \"num_unique_values\": 754,\n        \"samples\": [\n          4363.5498046875,\n          3115.340087890625,\n          4670.2900390625\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"^IXIC\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2649.9295483198075,\n        \"min\": 6860.669921875,\n    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              "    <tr style=\"text-align: right;\">\n",
              "      <th>Ticker</th>\n",
              "      <th>AAPL</th>\n",
              "      <th>AMGN</th>\n",
              "      <th>AXP</th>\n",
              "      <th>BA</th>\n",
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              "    <tr>\n",
              "      <th>Date</th>\n",
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              "      <th></th>\n",
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              "      <th>2019-06-07</th>\n",
              "      <td>45.724628</td>\n",
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              "      <td>113.451149</td>\n",
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              "    <tr>\n",
              "      <th>2019-06-11</th>\n",
              "      <td>46.845192</td>\n",
              "      <td>146.673965</td>\n",
              "      <td>113.978355</td>\n",
              "      <td>343.108063</td>\n",
              "      <td>111.884758</td>\n",
              "      <td>94.049751</td>\n",
              "      <td>93.872597</td>\n",
              "      <td>177.914856</td>\n",
              "      <td>112.801163</td>\n",
              "      <td>125.254158</td>\n",
              "      <td>94.869720</td>\n",
              "      <td>56.802242</td>\n",
              "      <td>26048.509766</td>\n",
              "      <td>2885.719971</td>\n",
              "      <td>7822.569824</td>\n",
              "      <td>1519.109985</td>\n",
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              "    <tr>\n",
              "      <th>2019-06-12</th>\n",
              "      <td>46.696110</td>\n",
              "      <td>147.497131</td>\n",
              "      <td>112.868446</td>\n",
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              "      <td>2879.840088</td>\n",
              "      <td>7792.720215</td>\n",
              "      <td>1519.790039</td>\n",
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              "    <tr>\n",
              "      <th>2019-06-13</th>\n",
              "      <td>46.686489</td>\n",
              "      <td>148.429443</td>\n",
              "      <td>112.711205</td>\n",
              "      <td>342.646423</td>\n",
              "      <td>111.788078</td>\n",
              "      <td>93.847946</td>\n",
              "      <td>92.905716</td>\n",
              "      <td>178.991501</td>\n",
              "      <td>112.761093</td>\n",
              "      <td>125.462769</td>\n",
              "      <td>96.196762</td>\n",
              "      <td>56.680809</td>\n",
              "      <td>26106.769531</td>\n",
              "      <td>2891.639893</td>\n",
              "      <td>7837.129883</td>\n",
              "      <td>1535.800049</td>\n",
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            "text/plain": [
              "Ticker           AAPL        AMGN         AXP          BA         CAT  \\\n",
              "Date                                                                    \n",
              "2019-06-07  45.724628  147.421524  112.017525  347.400238  109.405884   \n",
              "2019-06-10  46.308960  147.480316  113.451149  347.498444  110.531052   \n",
              "2019-06-11  46.845192  146.673965  113.978355  343.108063  111.884758   \n",
              "2019-06-12  46.696110  147.497131  112.868446  340.849030  111.726555   \n",
              "2019-06-13  46.686489  148.429443  112.711205  342.646423  111.788078   \n",
              "\n",
              "Ticker            CVX        JPM         MCD         MMM        MSFT  \\\n",
              "Date                                                                   \n",
              "2019-06-07  94.290375  92.583420  179.858047  111.265190  124.590446   \n",
              "2019-06-10  94.919075  93.584206  176.199234  112.387108  125.728264   \n",
              "2019-06-11  94.049751  93.872597  177.914856  112.801163  125.254158   \n",
              "2019-06-12  93.289101  92.676712  179.376587  112.867958  124.675797   \n",
              "2019-06-13  93.847946  92.905716  178.991501  112.761093  125.462769   \n",
              "\n",
              "Ticker             PG        XOM          ^DJI        ^GSPC        ^IXIC  \\\n",
              "Date                                                                       \n",
              "2019-06-07  94.340652  56.604912  25983.939453  2873.340088  7742.100098   \n",
              "2019-06-10  94.297279  56.855377  26062.679688  2886.729980  7823.169922   \n",
              "2019-06-11  94.869720  56.802242  26048.509766  2885.719971  7822.569824   \n",
              "2019-06-12  95.129921  56.187469  26004.830078  2879.840088  7792.720215   \n",
              "2019-06-13  96.196762  56.680809  26106.769531  2891.639893  7837.129883   \n",
              "\n",
              "Ticker             ^RUT  \n",
              "Date                     \n",
              "2019-06-07  1514.390015  \n",
              "2019-06-10  1523.560059  \n",
              "2019-06-11  1519.109985  \n",
              "2019-06-12  1519.790039  \n",
              "2019-06-13  1535.800049  "
            ]
          },
          "execution_count": 71,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "S.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jFZKpOvvgxjS"
      },
      "source": [
        "### Effects of the Risk-Aversion Parameter"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AuVXIx-KgxjS",
        "outputId": "5ec754c5-5a9c-4063-b87b-d62ec7c8d906"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731492\n",
            "0 simplex iterations\n",
            "11 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514730187\n",
            "0 simplex iterations\n",
            "11 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731888\n",
            "0 simplex iterations\n",
            "12 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731608\n",
            "0 simplex iterations\n",
            "12 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514732546\n",
            "0 simplex iterations\n",
            "13 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731939\n",
            "0 simplex iterations\n",
            "13 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731605\n",
            "0 simplex iterations\n",
            "13 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731601\n",
            "0 simplex iterations\n",
            "13 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514732507\n",
            "0 simplex iterations\n",
            "14 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514730943\n",
            "0 simplex iterations\n",
            "14 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514732006\n",
            "0 simplex iterations\n",
            "19 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514731812\n",
            "0 simplex iterations\n",
            "18 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001514729572\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001510095399\n",
            "0 simplex iterations\n",
            "25 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001437622365\n",
            "0 simplex iterations\n",
            "27 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001295715689\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001158395481\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001032064659\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0009166803764\n",
            "0 simplex iterations\n",
            "30 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0008119743789\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0007174838671\n",
            "0 simplex iterations\n",
            "27 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0006326321364\n",
            "0 simplex iterations\n",
            "28 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0005567613417\n",
            "0 simplex iterations\n",
            "49 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0004891745945\n",
            "0 simplex iterations\n",
            "47 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0004291645079\n",
            "0 simplex iterations\n",
            "30 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.0003760312865\n",
            "0 simplex iterations\n",
            "47 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0003291069177\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.000287751695\n",
            "0 simplex iterations\n",
            "45 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.0002513775284\n",
            "0 simplex iterations\n",
            "45 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.0002194326441\n",
            "0 simplex iterations\n",
            "46 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0001914349962\n",
            "0 simplex iterations\n",
            "38 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0001669044571\n",
            "0 simplex iterations\n",
            "71 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.0001454336267\n",
            "0 simplex iterations\n",
            "58 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.0001266789991\n",
            "0 simplex iterations\n",
            "66 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.0001102974057\n",
            "0 simplex iterations\n",
            "63 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 9.600494691e-05\n",
            "0 simplex iterations\n",
            "79 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 8.353972326e-05\n",
            "0 simplex iterations\n",
            "87 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 7.267451687e-05\n",
            "0 simplex iterations\n",
            "102 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 6.32076036e-05\n",
            "0 simplex iterations\n",
            "107 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 5.496260076e-05\n",
            "0 simplex iterations\n",
            "119 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 4.777968898e-05\n",
            "0 simplex iterations\n",
            "119 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 4.153924901e-05\n",
            "0 simplex iterations\n",
            "179 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 3.611700615e-05\n",
            "0 simplex iterations\n",
            "142 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 3.137646861e-05\n",
            "0 simplex iterations\n",
            "182 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 2.728202317e-05\n",
            "0 simplex iterations\n",
            "111 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 2.369919078e-05\n",
            "0 simplex iterations\n",
            "135 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 2.057749488e-05\n",
            "0 simplex iterations\n",
            "274 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 1.789499907e-05\n",
            "0 simplex iterations\n",
            "90 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 1.554970864e-05\n",
            "0 simplex iterations\n",
            "245 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 1.350726194e-05\n",
            "0 simplex iterations\n",
            "206 barrier iterations\n"
          ]
        }
      ],
      "source": [
        "lambd = 10 ** np.linspace(0, 3)\n",
        "\n",
        "results = [kelly_portfolio(R, Rf=1, EM=1, lambd=_) for _ in lambd]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 489
        },
        "id": "Tmui_NhTgxjS",
        "outputId": "04be7a72-221d-4007-f582-bda174a96319"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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vv+Dj40NcXJx5AvCdfH19eeutt3jrrbe4fv061apVY8KECblKHu6k1WqZOHEiTZo0Yfr06YwYMeKe9R0cHOjevTvdu3cnLS2Nzp07M2HCBEaOHGlxNmjSpEnY2Njw1ltv4eTkdNcJ1XdasmQJ3t7ezJgxI9u6FStWsHLlSmbNmoW9vT0NGzbE19eX5cuX06BBAzZv3syHH35osU3p0qU5ePAgzZo1e6B/B/+l0+no0KEDHTp0wGQy8dZbbzF79mxGjRqV4/0n7vx3dOcZo6yygnYzRiGEeBrJsCXxxGnbti1AtrshZ/2K2q5du1y14+DgkO0L8d34+vpSpUoVFi1aZLHNkSNH2LBhgzmm3Grbti0REREWw3AyMjL4+uuvcXR0NF8u9kG99957pKenm9+Lzp07o9VqGTduXLZf91VV5ebNm+ZlBwcHYmNjs7WZdRWqP//801xmNBqZM2dOnmLMqwoVKhAUFMTy5ctZvnw5vr6+NGzY0CKm/8bv7e2Nn59ftsuP5lbjxo2pVasW06ZNu+e9De58HyHzS3XFihVRVZX09HSLdYqiMGfOHLp27UqfPn2y3UPiv5KTk1mxYgXt27ena9eu2R4DBw4kPj7e3I5Go6Fr1678/vvvfPfdd2RkZFgMWYLMMzRXrlzh22+/zXF/uRmC999j1mg0BAcHA9z1/a5Rowbe3t7MmjXLos7atWs5fvx4rv/tCiGEeHTkzIN44oSEhNCnTx/mzJlDTEwMjRo1YteuXSxatIiOHTuaJ5TeT/Xq1dm0aRNTpkzBz8+PkiVLUrt27bvWnzRpEm3atKFu3br069fPfKlWFxcXxo4d+0DH8PrrrzN79mz69u3L3r17CQgI4Oeff2b79u1MmzYNJyenB2ovS8WKFWnbti1z585l1KhRlC5dmk8++YSRI0dy/vx5OnbsiJOTE+fOnWPlypW8/vrr5mv/V69eneXLlzN06FBq1qyJo6MjHTp0oFKlStSpU4eRI0cSHR2Nu7s7y5YtIyMjI08xPozu3bszevRo7Ozs6Nevn8VZm/j4eIoVK0bXrl0JCQnB0dGRTZs2sXv3biZPnpznfQ4fPpznn3+ehQsXZpu8m6Vly5YUKVKE+vXr4+Pjw/Hjx5k+fTrt2rXL8W+p0Wj4/vvv6dixI926deOPP/7I9kt8lt9++434+HieffbZHNfXqVPHfMO4rCShe/fufP3114wZM4agoCCLM3QAL730Ej/++CP9+/dny5Yt1K9fH6PRSHh4OD/++KP5vij38uqrrxIdHU3Tpk0pVqwYFy5c4Ouvv6ZKlSrZ9pfF1taWzz77jJdffplGjRrx4osvmi/VGhAQwDvvvHPPfQohhHgM8vNST0I8qKxLZu7evfue9dLT09Vx48apJUuWVG1tbVV/f3915MiRakpKikW9EiVKWFy69E7h4eFqw4YNVXt7exUwX7b1bpdqVVVV3bRpk1q/fn3V3t5edXZ2Vjt06KAeO3Ysx2O416VaVVVVIyMj1Zdffln19PRUdTqdGhQUpC5YsOCex31ne3e7NGhYWJgKqGPGjDGX/fLLL2qDBg1UBwcH1cHBQS1fvrw6YMAA9cSJE+Y6CQkJao8ePVRXV1cVsLhs65kzZ9TmzZurer1e9fHxUT/44AN148aNOV6qNae4si7VOmnSpGzr/hvrvZw6dUoFVEDdtm2bxbrU1FR1+PDhakhIiOrk5KQ6ODioISEh6syZM+/b7r36ndFoVEuXLq2WLl3afFnS//49Z8+erTZs2FD18PBQ9Xq9Wrp0aXX48OFqbGysuc6dl2rNkpSUpDZq1Eh1dHRUd+7cmWNsHTp0UO3s7NTExMS7xt+3b1/V1tZWvXHjhqqqmZdx9ff3VwH1k08+yXGbtLQ09bPPPlMrVaqk6vV61c3NTa1evbo6btw4i7iBHC9/+/PPP6stW7ZUvb29VZ1OpxYvXlx944031GvXrpnr5HQ5X1VV1eXLl6tVq1ZV9Xq96u7urvbs2VO9fPmyRZ0+ffqoDg4O2fab9T4KIYR4NBRVzcVMRCGEEEIIIcRTT+Y8CCGEEEIIIXJFkgchhBBCCCFErkjyIIQQQgghhMgVSR6EEEIIIYQQuSLJgxBCCCGEECJXJHkQQgghhBBC5MpTd5M4k8nE1atXcXJyQlGU/A5HCCGEEHdQVZX4+Hj8/PwsbvQohCgYHknykJiYiNFoxNnZ+VE0/1CuXr2Kv79/fochhBBCiHu4dOkSxYoVy+8whBD/YdXk4dixY/Tu3Zt9+/ahKAoVK1Zk4cKFVK9e3Zq7eShOTk5A5oeSNZObszcSOHc9nv3791O1alVsbLRWa1s8WjYaDbYaDbY2YKvVYKvVYKNVMl9rNNjZanFz0D32uNLT09mwYQMtW7bE1tb2se9fPFmkPwlrepT9KS4uDn9/f/N/r4UQBYtVk4c33niDgQMH0q1bN9LS0pg6dSq9e/fm6NGj1tzNQ8kaquTs7GzV5GHjjqvM2HIGcGLxhdNWa1cUDOWLOPFclaI8W8WPoq72j2Wf6enpGAwGnJ2d5cueeGjSn4Q1PY7+JEOLhSiYHip5eO6555g5cyZFixYFICoqimeffRaDwYDBYKBt27bMmDHDKoEWdEWc7Qgq6kxMTCyuri7yoVdIqCqkG01kmFTSjSbSM0ykGW+/NprIMKqkGU2ER8QTvi6cz9aFUyvAneeq+tG2sm++nJEQQgghhMgvD5U89OrVi6ZNmzJgwAAGDRrEwIEDqVSpEo0aNSI9PZ3Nmzfz7rvvWivWAu2lugG8UKMof/zxB23b1pFf9p4gMUlprD0Swa8HrvDPuWh2nc98jPn1KI3KevFc1aK0qOCDvU6GqgkhhBDiyfZQycPzzz9Py5Ytef/996lTpw6zZs1iw4YNhIWFYTQaGTFiBDVr1rRWrELkC1eDjhdrFefFWsW5GpPM6kNXWbX/KseuxREafp3Q8OsYdFpebVCSgU0D0dnI1UGEEEII8WR66DkPLi4uzJo1i23bttGnTx9atGjBxx9/jMFgsEZ8QhQofq72vN6wNK83LM2pyHh+PXCVXw9e4VJ0Ml9tPs2GY5FM7hZCJT+X/A5VCCGEEMLqHvon0ujoaPbu3UtQUBB79+7F2dmZqlWr8scff1gjPiEKrEAfJ4a1Ksefw5swvUdV3B10hEfE89z07XwVeop0oym/QxRCCCGEsKqHSh6WLl1KsWLFaNeuHSVKlGDt2rWMGTOGX3/9lc8//5xu3boRGRlprViFKJAURaF9sB/rhzSkVSUfMkwqUzaepPPMvzkZGZ/f4QkhhBBCWM1DJQ8jR45k/vz5REREEBoayqhRowAoX748YWFhtGjRgrp161olUCEKOi8nPbN6VefLF6rgYm/L4SuxtP9qG9+EnSFDzkIIIYQQ4gnwUMlDQkIC5cqVA6B06dIkJSVZrH/ttdfYuXPnw+xCiEJFURSeq1KUje80pFl5b9KMJj5bF07XWTs4E5WQ3+EJIYQQQjyUh0oe+vTpQ7t27ejRowe1atXipZdeylbH29v7YXYhRKHk7WzH3D41+OL5EJzsbDhwKYa2X/7F7K1yFkIIIYQQhddDXW1pypQpNGnShPDwcPr27UvLli2tFZcQhZ6iKHStXoz6ZTx4/5fD/Hkyiolrw/n1wFUmdg4ixN81v0MUQgghhHggD32p1g4dOtChQwdrxCLEE8nXxZ5FL9fkp72X+fSP4xy7FkenmdvpXTeAYa3K4ah/6H+GQgghhBCPhdzNSojHQFEUutXwZ9PQRnSs4odJhYV/n6fFlK1sPCZXJBNCCCFE4SDJgxCPkaejnmkvVOW7frUo7m7gWmwKry3eQ//v9hIRm5Lf4QkhhBBC3JMkD0Lkg2cCvVg/pCFvNi6NjUZh3dEImk/ZyuId5zGa1PwOTwghhBAiR5I8CJFP7HVa3m9dntVvN6BqcVcSUjMY/etROs3czq5z0fkdnhBCCCFENnmeqRkXF5frus7OznndjRBPvPJFnPm5fz2W/nOBz9ed4NDlWLrN3kHLit7U0uV3dEIIIYQQ/8pz8uDq6oqiKPeso6oqiqJgNBrzuhshngpajcJLdQNoE+TLtE0nWfrPRTYcu06oouWyfThDWpTD1SCZhBBCCCHyV56Thy1btlgzDiEEmROqP+kYRJ+6AXyy5hhbT95g4Y6LrDxwjbebBfJSnRLobGS0oRBCCCHyR56Th0aNGlkzDiHEHQJ9nJj7UjWmLF3L5mgXTkQm8PHqY3y34zwj2lSgVSWf+575E0IIIYSwNqvenSopKYmLFy+SlpZmUR4cHGzN3Qjx1CjvqjL4hbqsOhjBFxtOcv5mEv2/30v1Em4MaR5IgzKekkQIIYQQ4rGxSvIQFRXFyy+/zNq1a3NcL3MehMg7rUbhhVrFaR/ix+ytZ/j2r7PsvXCLl+btolpxV4Y0L8szgZJECCGEEOLRs8rg6SFDhhATE8M///yDvb0969atY9GiRQQGBvLbb79ZYxdCPPUc9Ta827IcW4c34eX6AehtNOy7GEPv+bvo/M3fhJ24jqrKPSKEEEII8ehYJXnYvHkzU6ZMoUaNGmg0GkqUKEGvXr34/PPPmThxYq7bmThxIjVr1sTJyQlvb286duzIiRMnLOo0btwYRVEsHv3797fGYQhRKPg42zGmQyX+eq8J/RqUxM5Ww/6LMfRdsJuOM/9mS7gkEUIIIYR4NKySPCQmJuLt7Q2Am5sbUVFRAAQFBbFv375ct7N161YGDBjAzp072bhxI+np6bRs2ZLExESLeq+99hrXrl0zPz7//HNrHIYQhYq3sx2j2lfkr/ea8tozmUnEwUsxvLxwN8/N2M6GoxGY5G7VQgghhLAiq8x5KFeuHCdOnCAgIICQkBBmz55NQEAAs2bNwtfXN9ftrFu3zmJ54cKFeHt7s3fvXho2bGguNxgMFClSxBqhC1HoeTnp+bBdRd5oVJpv/zzL4h0XOHQ5lte/20uAh4G+9QLoWsMfR71Vr48ghBBCiKeQVb5NDB48mGvXrgEwZswYWrduzZIlS9DpdCxcuDDP7cbGxgLg7u5uUb5kyRK+//57ihQpQocOHRg1ahQGgyHHNlJTU0lNTTUvZ90ZOz09nfT09DzHlpOs9qzdrng6PWh/ctFrGNaiDC/XK86C7RdYtucS528mMfb3Y3yx4STdqhflpTrFKeZm/yjDFgWUfD4Ja3qU/Un6qBAFm6I+gsHRSUlJhIeHU7x4cTw9PfPUhslk4tlnnyUmJoZt27aZy+fMmUOJEiXw8/Pj0KFDvP/++9SqVYsVK1bk2M7YsWMZN25ctvKlS5feNeEQ4kmQaoTdUQpbr2m4npJ5JSYFlWB3lUa+Jko5gVygSQhR0CQlJdGjRw9iY2NxdnbO73CEEP/xSJIHa3jzzTdZu3Yt27Zto1ixYnett3nzZpo1a8bp06cpXbp0tvU5nXnw9/fnxo0bVv9QSk9PZ+PGjbRo0QJbW1urti2ePtbqTyaTyl+nM+9Uve30TXN5ZT9nXqrjT5tKRbDXaa0RsijA5PNJWNOj7E9xcXF4enpK8iBEAWWVYUuvvPLKPdfPnz//gdobOHAgq1ev5s8//7xn4gBQu3ZtgLsmD3q9Hr1en63c1tb2kf0H9FG2LZ4+1uhPzSv50bySHycj41mw/Twr9l3myNU43l9xlE/WnKBDFT+61/AnuJiL3C/iCSefT8KaHkV/kv4pRMFmleTh1q1bFsvp6ekcOXKEmJgYmjZtmut2VFVl0KBBrFy5krCwMEqWLHnfbQ4cOADwQBOzhXhalfVxYmLnIIa3KscPuy6ybPdFLkUns/Sfiyz95yLlizjxfA1/OlUtiruDLr/DFUIIIUQBY5XkYeXKldnKTCYTb775Zo5nA+5mwIABLF26lF9//RUnJyciIiIAcHFxwd7enjNnzrB06VLatm2Lh4cHhw4d4p133qFhw4YEBwdb41CEeCq4O+gY0KQMbzYqzc5zN/lx9yXWHokgPCKej1cf439rj9OyYhGer1GMZwK90GrkbIQQQgghrJQ85ESj0TB06FAaN27Me++9l6ttvvnmGyDzRnB3WrBgAX379kWn07Fp0yamTZtGYmIi/v7+dOnShY8++sja4QvxVNBoFOqV9qReaU/GJafz24ErLN9ziSNX4lhz+BprDl+jiLMdbYN8aR/iS1V/VxnWJIQQQjzFHumF38+cOUNGRkau699v7ra/vz9bt2592LCEEDlwsbflpboBvFQ3gKNXY/lpz2VW7r9CRFwK87efY/72cxR1taddsC/tg30JKirzI4QQQoinjVWSh6FDh1osq6rKtWvXWLNmDX369LHGLoQQj1ElPxcqPevCiDbl+evUDVYfusqmY5FciUlmzp9nmfPnWYq7G2gf7Eu7YF8q+jpLIiGEEEI8BaySPOzfv99iWaPR4OXlxeTJk+97JSYhRMFlZ6ulRUUfWlT0ISXdSNiJ6/x+6Bqbj1/nYnQSM8POMDPsDCU9HWhW3pumFbypGeCOrVaT36ELIYQQ4hGwSvKwZcsWazQjhCjA7Gy1tK7sS+vKviSlZRB6/DprDl1jy4nrnLuRyNxt55i77RxOehsalvOiWXlvGpfzlqs2CSGEEE+QRzrnQQjxZDLobOgQ4keHED8SUjP462QUoeHX2RJ+nZuJaaw5dI01h66hKFDV35VmFXxoUs6b8kWc0MiVm4QQQohCyyrJQ2RkJMOGDSM0NJTr169nm/hsNBqtsRshRAHkqLehTZAvbYJ8MZlUDl6OYXP4dUKPX+fYtTj2XYxh38UYJq0/gYeDjjqlPahf2pN6pT0o4WGQuRJCCCFEIWKV5KFv375cvHiRUaNG4evrK18GhHhKaTQKVYu7UbW4G++2LMe12GQ2h19n8/Hr/H3mpsVZCYCirvbULe1BvdIe1CvtSREXu3w+AiGEEELci1WSh23btvHXX39RpUoVazQnhHhC+LrY07N2CXrWLkFahokDl2L4+8wN/j59k/2XbnElJpmf917m572XASjl6UCNADdqlHCnWgk3Snk6yDAnIYQQogCxSvLg7+9/33s0CCGebjobDbVKulOrpDtDmkNSWga7z98yJxNHrsZy9kYiZ28k8uOezGTC1WBLteJuVC/hRrXiboT4u2DQyVQtIYQQIr9Y5b/C06ZNY8SIEcyePZuAgABrNCmEeMIZdDY0KutFo7JeAMQmpbPrfDT7Lt5i74VbHLwUQ0xSeuawp/DrAGg1ChV9nQkq5kJQURcq+7lQtogjehttfh6KEEII8dSwSvLQvXt3kpKSKF26NAaDAVtbW4v10dHR1tiNEOIJ5mKwNd9TAiAtw8Txa3HsvZCZTOy5EE1kXCqHr8Ry+EqseTtbrUJZH6fMZOL2o3wRJ+xsJaEQQgghrM1qZx6EEMKadDYaQvxdCfF35ZUGJVFVlauxKey/eIvDV2I5eiWOw1diiU1O5+jVOI5ejYPdl4DMMxQlPR0oV8SJcj5OlPVxonwRJ/zdDWhlDoUQQgiRZ1ZJHvr06WONZoQQ4q4URaGoqz1FXe1pH+wHgKqqXL6VzJHbZyOOXI3jyJVYohPTOH09gdPXE1jDNXMbdrYaAr3/TSZKeztQ0tORYm72cldsIYQQIhesNvPQZDJx+vRprl+/jslksljXsGFDa+1GCCHMFEXB392Av7uBNkG+QGZCERGXwomI+MxHZDwnI+M5FZlASrop27AnABuNQnEPA6U8HSjl5UhJTwdKejpQyssBL0e9XH5aCCGEuM0qycPOnTvp0aMHFy5cyHbVJUVR5CZxQojHRlEUfF3s8XWxp3E5b3O50aRyMTqJExGZycSJyHjORiVy7kZmUnE2KpGzUYlw/LpFe/a2Woq7G/B3t89MVNwMt5czy+TqT0IIIZ4mVvmvXv/+/alRowZr1qyRm8QJIQqkrHkQJT0daF25iLncZMo8U5GVSJyJSuTcjUTO3kjg8q1kktONnLidbOTE01FHUdfMZMXP1R4/V7vM5MXVjqKu9ng66mWehRBCiCeGVZKHU6dO8fPPP1OmTBlrNCeEEI+NRqPc/tJvT4NAT4t1qRlGrtxK5mJ0EpduJXMpOolL0UlcvP2IT8ngRkIaNxLSOHg5Nsf2bTQKPs52FHGxw8dZj7eTHV5Oenyc7fB20uPtrMfHyQ5Xg6388CKEEKLAs0ryULt2bU6fPi3JgxDiiaK30VLKy5FSXo45ro9NSufSrSSuxCRzLSaZq7EpXI1J5lpsCtdikomMTyXDpHIlJpkrMcn33JdOq8HTUYeHox4PRx2eWc8Omc8ejno8HXW4O+hwM+jkUrRCCCHyhVWSh0GDBvHuu+8SERFBUFBQtvs8BAcHW2M3QghRoLgYbHExZN5bIicZRhNRCalcjUnhelwKkXEpXI9PJTIulevxKVy//XwrKZ00oykz+YhNydW+7Ww1uBt0uBp0uDnYZj4bbHE36HAx6HCxt8XZzgYXe1tcDLYYbBRSjWSblyaEEEI8CKskD126dAHglVdeMZcpioKqqjJhWgjx1LLRasyTt+8lNcNIVHwqNxLSuJmQys2ENG4kZj7fTEjlZmLa7eFRqdxKTCPDpJKS/mDJxu2I+HDvJpztbHG2t8XJzgZHvc3t58xlZzsbHO1scLKzxVFvg4Nei4POBgd9Zl2DXouj3gZ7W60MsxJCiKeQVZKHc+fOWaOZBzJjxgwmTZpEREQEISEhfP3119SqVeuxxyGEEA9Lb6OlmJuBYm6G+9ZVVZWE1AxuJaZzKymNW0lpxCSlE52YRkxSGreS0olJTif29iP+jtcZJpV0o8rNxDRuJqY9VMyKAg46Gww6LQadFvs7X9tmL7OzzXzY22qxs9Xcfr5dpssss7PRorfVoLfRorfRYGerlcnmQghRwFgleShRooQ1msm15cuXM3ToUGbNmkXt2rWZNm0arVq14sSJE3h7e9+/ASGEKKQURcHJzhYnO1uKe9w/2ciSlpbGqtVrqdOwKUkZKnHJGSSkphOfkmF+ZC0npGQQd3s5MdVIYloGiakZJKUaSUjLQFVBVSEhNYOE1IxHeLSZE871Nhr0tpkJhd5Gg+72Q2+jRae9c/nfZ1vtvw+dVsl8ziq30WCrySyz0SrotBpstBpsb9fLKrfV3H7WKthoNGjv2MZWo0GrVbDRZD60GkXOxAghngpWvUD5sWPHuHjxImlplr9oPfvss9bcDVOmTOG1117j5ZdfBmDWrFmsWbOG+fPnM2LECKvuSwghngSKoqDXgq+LXbZ5aQ9CVVWS042ZScXt5CE53UhSmpHktAyS0rJeZz4npWeQnGYkJd1ISrqJ5PSs18bbr03m9WkZJlIyjKQb/52XkWFSyUgzkphW8Ie/am8nETZ3PNtoNWgVxWKdJutZUbDR3n6+XZ5V9846Wk1m25qsdcq/5Rrl3+00SubVw7LqKUrm+qx1inn7zNearG2UO+resT6rTKOAwr/LipJ5Y9hDNxQCIxOoWMwtv996IcRjZJXk4ezZs3Tq1InDhw+b5zoA5l9hrDnnIS0tjb179zJy5EhzmUajoXnz5uzYsSNb/dTUVFJTU83LcXFxAKSnp5Oenm61uLLavPNZiIch/UlYkzX7k60CrnYaXO10gO6h2/svo0klLcNE6u1kIjXDRFp65uu0DBNpRpN5fdbyna/TM9TMZ6OJdKNK+u366UYTacbMtjNMmesyjCYyTJn1M27XNT+b1MyH8fazyWR+fbe4jSaVhxsQVphocSt2jUCfnK9GllfymSdEwWaV5GHw4MGULFmS0NBQSpYsya5du7h58ybvvvsuX3zxhTV2YXbjxg2MRiM+Pj4W5T4+PoSHh2erP3HiRMaNG5etfMOGDRgMuT/l/yA2btz4SNoVTyfpT8KanrT+pAHsbj/uWcmKOY6qggkwmjKfTWrmw/ifZ4vXd9Qzqcq/r/m3nnrHsvqfbdT/vM5ar5rLFHN7ag51srZX/7M+p3p3LkP2beHf9dGXTvPHH6es9+YCSUlJVm1PCGFdVkkeduzYwebNm/H09ESj0aDRaGjQoAETJ07k7bffZv/+/dbYTZ6MHDmSoUOHmpdjY2MpXrw4devWxcnJyar7Sk9PZ8uWLTRp0uShhgUIAdKfhHVJfxLW9Cj7U3x85t3c5bLCQhRMVkkejEaj+Yu4p6cnV69epVy5cpQoUYITJ05YYxdmnp6eaLVaIiMjLcojIyMpUqRItvp6vR69Xm9ezhq2VLJkSavGJYQQQgjriY+Px8Ul53uoCCHyj1WSh8qVK3Pw4EFKlixJ7dq1+fzzz9HpdMyZM4dSpUpZYxdmOp2O6tWrExoaSseOHYHMiVuhoaEMHDjwvtv7+flx6dIlnJyc7npljJo1a7J79+67tnG39XFxcfj7+3Pp0iWcnZ1zd0D57H7HWhD3k9e2HnS73NbPa3+533rpT49nX4WtP92vzpPUn6DwfUY9TDuPok9Zo05O6x9lf1JVlfj4ePz8/KzarhDCOqySPHz00UckJiYCMH78eNq3b88zzzyDh4cHy5cvt8YuLAwdOpQ+ffpQo0YNatWqxbRp00hMTDRffeleNBoNxYoVu2cdrVZ7zw/D+613dnYuNP9xvt+xFMT95LWtB90ut/Uftr9If8rffRW2/nS/Ok9Sf4LC9xn1MO08ij5ljTr3Wv+o+pOccRCi4LJK8tCqVSvz6zJlyhAeHk50dDRubm6P5LrX3bt3JyoqitGjRxMREUGVKlVYt25dtknUeTVgwICHWl+YPK5jseZ+8trWg26X2/oP21+kP+Xvvgpbf7pfnSepP0Hh+4x6mHYeRZ+yRp0nrU8JIR6OosqMJKuJi4vDxcWF2NjYQvXLniiYpD8Ja5L+JKxJ+pMQTy9NfgfwJNHr9YwZM8ZigrYQeSX9SViT9CdhTdKfhHh6yZkHIYQQQgghRK7ImQchhBBCCCFErkjyIIQQQgghhMgVSR6EEEIIIYQQuSLJgxBCCCGEECJXJHkQQgghhBBC5IokD0IIIYQQQohckeRBCCGEEEIIkSuSPAghhBBCCCFyRZIHIYQQQgghRK5I8iCEEEIIIYTIFUkehBBCCCGEELkiyYMQQgghhBAiVyR5EEIIIYQQQuSKJA9CCCGEEEKIXJHkQQghhBBCCJEr+Zo8/Pnnn3To0AE/Pz8URWHVqlX33SYsLIxq1aqh1+spU6YMCxcufORxCiGEEEIIIfI5eUhMTCQkJIQZM2bkqv65c+do164dTZo04cCBAwwZMoRXX32V9evXP+JIhRBCCCGEEIqqqmp+BwGgKAorV66kY8eOd63z/vvvs2bNGo4cOWIue+GFF4iJiWHdunWPIUohhBBCCCGeXjb5HcCD2LFjB82bN7coa9WqFUOGDLnrNqmpqaSmppqXTSYT0dHReHh4oCjKowpVCCGEEHmgqirx8fH4+fmh0cjUTCEKmkKVPERERODj42NR5uPjQ1xcHMnJydjb22fbZuLEiYwbN+5xhSiEEEIIK7h06RLFihXL7zCEEP9RqJKHvBg5ciRDhw41L8fGxlK8eHHOnTuHk5OTVfeVnp7Oli1baNKkCba2tlZtWzw6JpNKbHI60UlpRCemE52Yxs3EVKKT0olOSGNj+HUSUoy0D/Jh/LMVH9sZK+lPwpqkPwlrepT9KT4+npIlS1r9v9FCCOsoVMlDkSJFiIyMtCiLjIzE2dk5x7MOAHq9Hr1en63c3d0dZ2dnq8aXnp6OwWDAw8ND/uNcyHjdY91fp6Lou2A3f5yMJ+hILG82Lv1YYpL+JKxJ+pOwpkfZn7Lak6HFQhRMhSp5qFu3Ln/88YdF2caNG6lbt24+RSSeBs8EejG2Q0VG/XqUz9eHU8rLgVaViuR3WEIIIR4RVVXJyMjAaDTmdyhCPBa2trZotdpc1c3X5CEhIYHTp0+bl8+dO8eBAwdwd3enePHijBw5kitXrrB48WIA+vfvz/Tp03nvvfd45ZVX2Lx5Mz/++CNr1qzJr0MQT4mX6gZw6noCi3dcYMiyA/zUvy6Vi7rkd1hCCCGsLC0tjWvXrpGUlJTfoQjx2CiKQrFixXB0dLxv3XxNHvbs2UOTJk3My1lzE/r06cPChQu5du0aFy9eNK8vWbIka9as4Z133uHLL7+kWLFizJ07l1atWj322MXTZ3T7ipy7kchfp27w2uI9/DqgPt7OdvkdlhBCCCsxmUycO3cOrVaLn58fOp1Ohk+JJ56qqkRFRXH58mUCAwPvewbCKslDXFwcmzdvply5clSoUCHX2zVu3Jh73WYip7tHN27cmP379+clTCEeio1Ww/Qe1eg8cztnohJ57bu9LH+9Dna2uTvNJ4QQomBLS0vDZDLh7++PwWDI73CEeGy8vLw4f/486enp900e8nQB5W7dujF9+nQAkpOTqVGjBt26dSM4OJhffvklL00KUSi42Nsyr09NXA22HLwUw/CfD90zARZCCFH4yP0lxNPmQc6w5elfx59//skzzzwDwMqVK1FVlZiYGL766is++eSTvDQpRKER4OnANz2rY6NR+P3gVb4KPX3/jYQQQgghngB5Sh5iY2Nxd3cHYN26dXTp0gWDwUC7du04deqUVQMUoiCqW9qDCZ0qAzB100lWH7qazxEJIYQQQjx6eUoe/P392bFjB4mJiaxbt46WLVsCcOvWLezsZAKpeDp0r1mcVxuUBODdHw+y7+KtfI5ICCGEeLTGjh1LlSpV8jsMkY/ylDwMGTKEnj17UqxYMfz8/GjcuDGQOZwpKCjImvEJUaCNbFuBpuW9Sc0w0WvuP4Qej7z/RkIIIcQjsmPHDrRaLe3atcvvUMQTKk/Jw1tvvcXOnTuZP38+27ZtM08sKlWqFBMmTLBqgEIUZFqNwlcvVqVBGU+S0oy8tngPi/4+n99hCSGEeErNmzePQYMG8eeff3L1qgypFdaXp+Rh/PjxVKhQgU6dOlncTKJp06Zs2rTJasEJURg46m1Y8HJNutfwx6TCmN+OMv73YxhNchUmIYQo7FRVJSkt47E/8nIlv4SEBJYvX86bb75Ju3btLC55HxYWhqIorFmzhuDgYOzs7KhTpw5Hjhwx11m4cCGurq6sWrWKwMBA7OzsaNWqFZcuXbrnfufOnUuFChWws7OjfPnyzJw584FjF4VHnu7zMG7cOPr375/tGshJSUmMGzeO0aNHWyU4IQoLW62G/3UJoriHgUnrTzB/+zku3UriyxeqYNDl670YhRBCPITkdCMVR69/7Ps9Nr7VA//348cff6R8+fKUK1eOXr16MWTIEEaOHGlxGc7hw4fz5ZdfUqRIET744AM6dOjAyZMnsbW1BTK/y02YMIHFixej0+l46623eOGFF9i+fXuO+1yyZAmjR49m+vTpVK1alf379/Paa6/h4OBAnz598v4GiAIrT2ceVFXN8XqwBw8eNF+FSYinjaIoDGhShq9frIrORsPGY5G8MGcn1+NT8js0IYQQT4F58+bRq1cvAFq3bk1sbCxbt261qDNmzBhatGhBUFAQixYtIjIykpUrV5rXp6enM336dOrWrUv16tVZtGgRf//9N7t27cpxn2PGjGHy5Ml07tyZkiVL0rlzZ9555x1mz5796A5U5KsHSmnd3NxQFAVFUShbtqxFAmE0GklISKB///5WD1KIwqRDiB++Lna8tngPhy7H0mnG3yx4uSZlfZzyOzQhhBAPyN5Wy7HxrfJlvw/ixIkT7Nq1y5wI2NjY0L17d+bNm2e+sA1A3bp1za/d3d0pV64cx48fN5fZ2NhQs2ZN83L58uVxdXXl+PHj1KpVy2KfiYmJnDlzhn79+vHaa6+ZyzMyMnBxcXmg+EXh8UDJw7Rp01BVlVdeeYVx48ZZdAydTkdAQIBFpxTiaVUjwJ2Vb9Xn5YW7OXcjkS4z/+abXtVpEOiZ36EJIYR4AIqiFIrhp/PmzSMjIwM/Pz9zmaqq6PV6pk+f/kj2mZCQAMC3335L7dq1LdZptQ+W/IjC44H+NWSNXStZsiT16tUzj48TQmQX4OnAijfr8cZ3e9l1Ppq+C3YxvFU5+tYPQG8jH6pCCCGsIyMjg8WLFzN58mTzvbeydOzYkR9++IHy5csDsHPnTooXLw5k3p/r5MmTVKhQwaKtPXv2mM8ynDhxgpiYGIs6WXx8fPDz8+Ps2bP07NnzUR2eKGDylEo3atQIk8nEyZMnuX79OiaTyWJ9w4YNrRKcEIWdm4OO716txXs/H+LXA1eZuDac7/+5wPBW5Wkf5ItGk33ukBBCCPEgVq9eza1bt+jXr1+24UJdunRh3rx5TJo0Cci8YqaHhwc+Pj58+OGHeHp60rFjR3N9W1tbBg0axFdffYWNjQ0DBw6kTp062YYsZRk3bhxvv/02Li4utG7dmtTUVPbs2cOtW7cYOnToIztmkX/ylDzs3LmTHj16cOHChWyXElMUBaPRaJXghHgS6G20TOtehXqlPZi84SSXopN5+4f9zPvrLCPbVqBOKY/8DlEIIUQhNm/ePJo3b57jPIMuXbrw+eefc+jQIQD+97//MXjwYE6dOkWVKlX4/fff0el05voGg4H333+fHj16cOXKFZ555hnmzZt3132/+uqrGAwGJk2axPDhw3FwcCAoKIghQ4ZY/ThFwZCn5KF///7UqFGDNWvW4Ovrm+OVl4QQ/1IUhe41i9MhxI95f51j1tYzHLwcywtzdtKsvDcj2pQnUCZUCyGEyIPff//9rutq1aqFqqqEhYUB0KBBA4t7O+Skc+fOdO7cOcd1Y8eOZezYsRZlPXr0oEePHg8Usyi88pQ8nDp1ip9//pkyZcpYOx4hnmgGnQ2DmgXyYu3ifLnpFEt3XSQ0/DpbTlyne01/3mleFm9nu/wOUwghhBAiR3m6z0Pt2rU5ffq0tWMR4qnh6ajn446V2fBOQ1pXKoJJhR92XaLRpDA+XxdOdGJafocohBBCCJFNrs88ZI2VAxg0aBDvvvsuERERBAUFZbvqUnBwsPUiFOIJVtrLkVkvVWfP+Wg+/eM4+y7GMDPsDAv/Pk+PWv6UkBxCCCGEFTRu3DjbPNX/6tu3L3379n08AYlCK9fJQ5UqVVAUxaLjvfLKK+bXWetkwrQQD65GgDu/vFmPjcci+WrzKY5ciWPutvPYarSc0YXzZpNAfGQ4kxBCCCHyWa6Th3Pnzj3KOIR46imKQstKRWhR0YewE1FM23SSg5djWbjjIkt3X6Z7DX/6Ny5NUVf7/A5VCCGEEE+pXM95KFGiRK4fD2rGjBkEBARgZ2dH7dq12bVr113rLly4EEVRLB52dvKLrHhyKIpCk/Le/PR6Ld6sYKRGCVfSMkx8t/MCjSdtYeSKQ1y4mZjfYQohhBDiKZSnqy399ttvOZZnfZEvU6YMJUuWzFVby5cvZ+jQocyaNYvatWszbdo0WrVqxYkTJ/D29s5xG2dnZ06cOGGxXyGeNIqiUN5V5Z0Xa7L3UjxfhZ5ix9mb/LDrEst2X6JFBR9eaVCS2iXd5d+AEEIIIR6LPCUPHTt2zDb/ASznPTRo0IBVq1bh5uZ2z7amTJnCa6+9xssvvwzArFmzWLNmDfPnz2fEiBE5bqMoCkWKFMlL6EIUOoqiULe0B3VLe7DnfDTTt5wm7EQUG45FsuFYJBV8nXmlfgAdQvyws9Xmd7hCCCGEeILlKXnYuHEjH374IRMmTDDfrnzXrl2MGjWKjz76CBcXF9544w2GDRt2z7sSpqWlsXfvXkaOHGku02g0NG/enB07dtx1u4SEBEqUKIHJZKJatWp8+umnVKpUKce6qamppKammpfj4uIASE9PJz09/YGO+36y2rN2u+LplFN/CinqxLe9qnL6egKLd15k5YGrHL8Wx/CfD/G/teH0qFWMF2v64+Wkz6+wRQEln0/Cmh5lf5I+KkTBlqfkYfDgwcyZM4d69eqZy5o1a4adnR2vv/46R48eZdq0aRZXY8rJjRs3MBqN+Pj4WJT7+PgQHh6e4zblypVj/vz5BAcHExsbyxdffEG9evU4evQoxYoVy1Z/4sSJjBs3Llv5hg0bMBgMuTncB7Zx48ZH0q54Ot2tP9WxgaAQ2Hld4c8IDTcT0/h6y1lmhp2hmqdKwyIm/B1ARjSJO8nnk7CmR9GfkpKSrN6mEMJ68pQ8nDlzBmdn52zlzs7OnD17FoDAwEBu3LjxcNHloG7dutStW9e8XK9ePSpUqMDs2bP5+OOPs9UfOXIkQ4cONS/HxcXh7+9Py5YtczyGh5Gens7GjRtp0aJFtntfCPGgctufngfSjSY2HrvOop0X2Xcxht1RCrujNJQv4sTz1YvybLAvrgbpk08z+XwS1vQo+1PWCAGRNzt27KBBgwa0bt2aNWvW5Hc44gmUp+ShevXqDB8+nMWLF+Pl5QVAVFQU7733HjVr1gTg1KlT+Pv737MdT09PtFotkZGRFuWRkZG5ntNga2tL1apV73rHa71ej16ffQiHra3tI/sP6KNsWzx9ctOfbG3huWr+PFfNnwOXYli4/Rx/HIkgPCKej9eE89n6k7SqVITuNfypV9oDjUZORzyt5PNJWNOj6E/SPx/OvHnzGDRoEPPmzePq1av4+fnld0jiCZPrS7Xead68eZw7d45ixYpRpkwZypQpQ7FixTh//jxz584FMuclfPTRR/dsR6fTUb16dUJDQ81lJpOJ0NBQi7ML92I0Gjl8+DC+vr55ORQhnjhV/F2Z9kJVdn3QjHHPVqKirzNpGSZ+P3iVXvP+oeGkLXy56RRXY5LzO1QhhCj4VBXSEh//4z53g85JQkICy5cv580336Rdu3YsXLjQvC4sLAxFUVi/fj1Vq1bF3t6epk2bcv36ddauXUuFChVwdnamR48eFkPH4uPj6dmzJw4ODvj6+jJ16lQaN27MkCFDzHVSU1MZNmwYRYsWxcHBgdq1axMWFmZev3DhQlxdXVm/fj0VKlTA0dGR1q1bc+3atbz8RUQ+y9OZh3LlynHs2DE2bNjAyZMnzWUtWrRAo8nMRzp27JirtoYOHUqfPn2oUaMGtWrVYtq0aSQmJpqvvtS7d2+KFi3KxIkTARg/fjx16tShTJkyxMTEMGnSJC5cuMCrr76al0MR4onlatDRp14AfeoFcORKLMt3X2LVgStcvpXM1E0nmRZ6kgZlPOkQ4kerSkVwsZdf+4QQIpv0JPg0H369/+Aq6BweaJMff/yR8uXLU65cOXr16sWQIUMYOXKkxeW8x44dy/Tp0zEYDHTr1o1u3bqh1+tZunQpCQkJdOrUia+//pr3338fyPyetn37dn777Td8fHwYPXo0+/bto0qVKuY2Bw4cyLFjx1i2bBl+fn6sXLmS1q1bc/jwYQIDA4HMuSxffPEF3333HRqNhl69ejFs2DCWLFny8O+VeKzylDxA5lWRWrduTevWrR8qgO7duxMVFcXo0aOJiIigSpUqrFu3zjyJ+uLFi+aEBODWrVu89tprRERE4ObmRvXq1fn777+pWLHiQ8UhxJOsclEXKhd14cN2FVh75BrLd19i59lo/jp1g79O3eCjlUdoWNaLDiG+NK/gg4M+zx8NQggh8sm8efPo1asXAK1btyY2NpatW7fSuHFjc51PPvmE+vXrA9CvXz9GjhzJmTNnKFWqFABdu3Zly5YtvP/++8THx7No0SKWLl1Ks2bNAFiwYIHFUKiLFy+yYMECLl68aC4fNmwY69atY8GCBXz66adA5jyZWbNmUbp0aSAz4Rg/fvyjfUPEI5HrbwhfffUVr7/+OnZ2dnz11Vf3rPv2228/UBADBw5k4MCBOa6787QXwNSpU5k6deoDtS+EyGRnq6VT1WJ0qlqMCzcT+f3gVX4/eI0TkfFsOh7JpuOR2NlqaFbeh/bBvjQp7y33jhBCPN1sDZlnAfJjvw/gxIkT7Nq1i5UrVwJgY2ND9+7dmTdvnkXyEBwcbH7t4+ODwWAwJw5ZZbt27QLg7NmzpKenmy/LD+Di4kK5cuXMy4cPH8ZoNFK2bFmLeFJTU/Hw8DAvGwwGc+IA4Ovry/Xr1x/oGEXBkOvkYerUqfTs2RM7O7t7fnlXFOWBkwchxONXwsOBgU0DGdg0kBMR8aw+dJXfD17l/M0k1hy+xprD13DQaWle0YfmFXxoVM4LZzsZ2iSEeMooygMPH8oP8+bNIyMjw+KsgKqq6PV6pk+fbi67c0K6oijZJqgrioLJZMr1fhMSEtBqtezduxet1vLHJkdHxxz3m7Wf/95sWBQOuU4ezp07l+NrIUThV66IE+WKlGNoi7IcvRrH7wevsvrQNa7EJPPrgav8euAqNhqFOqU8aFbBm+YVfPB3fzT3SRFCCPFgMjIyWLx4MZMnT6Zly5YW6zp27MgPP/xA+fLlH7jdUqVKYWtry+7duylevDgAsbGxnDx5koYNGwJQtWpVjEYj169f55lnnnn4gxEF3kMNbE5LS+PcuXOULl0aGxsZIy1EYacoinl+xPuty7P/0i02HI1k4/FIzkYlsu30DbadvsG4349RvoiTOZEIKeYql38VQoh8snr1am7dukW/fv1wcXGxWNelSxfmzZvHpEmTHrhdJycn+vTpw/Dhw3F3d8fb25sxY8ag0WjMk7DLli1Lz5496d27N5MnT6Zq1apERUURGhpKcHAw7dq1s8oxioIjT9/4k5KSGDRoEIsWLQLg5MmTlCpVikGDBlG0aFFGjBhh1SCFEI+fRqNQvYQ71Uu4M7JtBc5GJRB6/Dqbjkey+3w04RHxhEfEM2PLGTwdddQv40n9Mp40KOOJn6t9focvhBBPjXnz5tG8efNsiQNkJg+ff/45hw4dylPbU6ZMoX///rRv3x5nZ2fee+89Ll26hJ2dnbnOggUL+OSTT3j33Xe5cuUKnp6e1KlTh/bt2+f5mETBpah5GHA2ePBgtm/fzrRp02jdujWHDh2iVKlS/Prrr4wdO5b9+/c/ilitIi4uDhcXF2JjYx/JHab/+OMP2rZtKze5EQ+tIPenW4lphJ28zqbj19l6IoqE1AyL9aW8HGhwO5moW9pD5koUAAW5P4nC51H2p0f53+n7SUlJ4dy5c5QsWdLiy7H4V2JiIkWLFmXy5Mn069cvv8MRVvIgfT9PZx5WrVrF8uXLqVOnjsW1gytVqsSZM2fy0qQQohBxc9CZr9qUlmFi38VbbD+dednXQ5djOBuVyNmoRBbvuIBGgRB/V+qX9qRWSXeqFnfFSZIJIYQoFPbv3094eDi1atUiNjbWfHnV5557Lp8jE/klT8lDVFQU3t7e2coTExMtkgkhxJNPZ6OhTikP6pTy4N2W5YhNTmfn2ZtsO3WD7advcPZGIvsvxrD/YgxsAY0CFXydqRngTo0AN2oGuOPjLL/wCSFEQfXFF19w4sQJdDod1atX56+//sLT0zO/wxL5JE/JQ40aNVizZg2DBg0CMCcMc+fOpW7dutaLTghR6LjY29KqUhFaVSoCwJWYZLafusGOszfZcyGaS9HJHL0ax9GrcSz8+zwA/u721CzhTo0Ad0L8XSjr44StVnOPvQghhHgcqlatyt69e/M7DFGA5Cl5+PTTT2nTpg3Hjh0jIyODL7/8kmPHjvH333+zdetWa8coRKFmMqncvJxA5Pk47Bxs8SjqgIu34am5OlFRV3u61fSnW01/ACJiU9hzIZo952+x+3w0x6/FcSk6mUvRV1ix/woAehsNFf2cCSnmSnAxF4KLuVLK0+Gpec+EEEKIgipPyUODBg04ePAgEydOJCgoiA0bNlCtWjV27NhBUFCQtWMUolDJSDdy/Xw8V0/HcO1UDNfOxpKeYrSoo7XV4O7rgEcxRzyLOuJRNPO1vaMun6J+fIq42NE+2I/2wZk3MopPSWf/xRj2nI9m78VbHLocS3xKxr9DnW5z1NtQuWhmQlHB15kKvs6U8nKQMxRCCCHEY5Sn5KF37940adKEESNGWNxqXIinkaqqXD0Zw6Xj0Vw9HUPk+ThMGZYXMdPZ2+BT0pm05AxuXkkgI81E1MV4oi7GW9QzuOhw93XAzdcBFy89KTe1JMWl4exu88TOJ3Kys6VhWS8alvUCMs/UnL+ZyKHLsbcfMRy5GktCagY7z0az82y0eVudVkMZb0fK+zpRoUhmQlHe1wlPR31+HY4QQgjxRMtT8qDT6Zg4cSKvvvoqfn5+NGrUiMaNG9OoUSMCAwOtHaMQBdru1efYvea8RZm9sw6/Mq74BbrgW8YVj6KO5iE3qkkl9kYyN68kcPNyAjevJHLjSgJxUckkxaaRFJvG5fBbt1sy8P2uf9AbbHAr4oCbryHz2ceAi7c9zp72aG2erF/eNRqFUl6OlPJypGPVogBkGE2cup7AocsxHL4SS/i1zHtMJKRmcOxaHMeuxQFXzG14OuoJ9HakjLcjpb0cKOPtRGlvB4o42z2xSZgQQgjxOOQpeZg7dy4AV65c4c8//2Tr1q1MnjyZN954A19fXy5fvmzVIIUoqE7ujjAnDoE1fShW3g2/Mq64eNvf9UuqolFw9Tbg6m2gdNV/r1qWlpJB9NVEoq8lcisiieirCVw5ewNjiobUpAwizsYScTbWsi0FnDzscPE24OJlj6t3ZlLh4vVkJRY2Wo15qFL3mpllqqpy+VYyx6/F3b5hXRzh1+I5dzORGwmp3EhIZcfZmxbtOOi0lPZ2pIyXI6W9HQnwcKCEh4ESHga5fKwQQgiRC3lKHrK4ubnh4eGBm5sbrq6u2NjY4OXlZa3YhCjQIs7FsnlROABVWxSnXpcyD9Wezs6GIqVcKFIq8w6hWTdhatm8FYm30jOTimtJ3IpIJOZ6MrFRyWSkGom7kULcjRQu/bdBBRxd9Th52OHsYZ/57Pnva0c3PZpCPF9AURT83Q34uxtoefvKTgBJaRmcikzg9PUEzkRlPp+OSuDCzSQS04zm4VD/5e6go4SHgQAPB4q7GwjwNFDc3QF/N3s8HfUyWVsIIYQgj8nDBx98QFhYGPv376dChQo0atSIESNG0LBhQ9zc3KwdoxAFTnx0Cn98cxhjhomAYE/qdHp0c39sdFo8i9nhWczJolxVVZLi0oi9npSZTFxPJjYqySKxSLiVSsKtVK6dzv5lWdEoOLrqcXTXZz672WW+dstMLBzd7LB3tEUpZF+aDTobQvxdCfF3tShPyzBxMTrxdlKR+XzhZiIXbiZxMzGN6NuPOydpZ9HZaPBzsaOomz1FXe0p6mowvy7mZo+Psx26J+QsjxBCWMvYsWNZtWoVBw4cyO9QhBXlKXn43//+h5eXF2PGjKFz586ULVvW2nEJUWClpWSwZuYhkuPS8CjqSItXKubLr9KKouDgosfBRY9foGXSrqoqyfHpxN1MJv5mCnE3kom7mWJ+HR+dgilDJT46hfjolLvuQ2OTmWA4uOgxuOj+fXbV4+Csx+CaWaY3FPwJ3TobDWW8nSjj7ZRtXXxKOhduJnExOonzNxO5ePPf54i4FNIyTJy/mcT5m0l3bd/TUYePsx1FnO0o4pL57OPy77KPkx3O9gX/fRJCFG47duygQYMGtG7dmjVr1uRrLMOGDTPfEyy/nD9/npIlS+a4bseOHdSpU+cxR1T45Sl52L9/P1u3biUsLIzJkyej0+nMk6YbN24syYR4YqkmlU0LjnHzcgL2Tra0fSsInd1Djf57JBRFweCsw+Cso0hJl2zrVZNKYmwq8dGpJNxKuX2G4vZzdOZzUnwapgzVPCzqXjQ2CgYnHfa3HwYnW+ydb7921mHvZJu5ztEWOwdbbHTaR3XoeeJkZ0vloi5ULpr9vUo3moiITeHyrWSuxCRz5VYyV2KSzK+vxqSQZjRxIyGNGwlpHL0ad9f96LQaPB11eDrp8XLU4+Wkx/OOZw9HHR4OOtwddLgadGgL2VkfIUT+mzdvHoMGDWLevHlcvXoVPz+/xx6DqqoYjUYcHR1xdHR87PvPyaZNm6hUqZJFmYeHxyPbn9FoRFEUNJon76x0nr71hISEEBISwttvvw3AwYMHmTp1KgMGDMBkMmE0Gu/TghCF085fz3Du4A20NhravhmMs4d9foeUJ4pGuT08yQ7I/oUZwJhhIjEmlYSYVJJi00iMvfM5lcTbr1MTMzBlqOYhUrlho9Ng52iLvaMOOwcb7Bx12N1OLOwcbNAbbNEbbLBzyHzWG2zRO9igzYc5GrZajXluRU5MJpVbSWlExKUQGZdCRGwqEXEpRMQmExGXSmRsChFxKcQmp5NmNHE1NoWrsfdOxiBzMryrvS1uDv8mFO4OOtwMOlwNtrja63Ax2OJqb4vr7TIXe1vsbAtWYiZEYaeqKskZyY99v/Y2d7/wxt0kJCSwfPly9uzZQ0REBAsXLuSDDz4wrw8LC6NJkyasW7eOESNGEB4eTt26dVm2bBl79+5l6NChXLlyhfbt2zN37lwMhszPPZPJxGeffcacOXOIiIigbNmyjBo1iq5du1q0+8cff/DRRx9x+PBhNmzYQFhYWLZhS/Pnz2fy5MmcPn0ad3d3unTpwvTp0wGYMmUKCxYs4OzZs7i7u9OhQwc+//xzcwKycOFChgwZwvLlyxkyZAiXLl2iQYMGLFiwAF9f33u+Nx4eHhQpUiRbuaqqtGjRAq1Wy7p161AUhejoaIKDg3nllVcYP368+fhWr17NyJEjOXnyJFWqVGHu3LlUrlzZIrbFixczYsQITp48yenTp/H19eXDDz/khx9+ICYmhsqVK/PZZ5/RuHFjAC5cuMDAgQPZtm0baWlpBAQEMGnSJNq2bcutW7cYOHAgGzZsICEhgWLFivHBBx/w8ssvP1C/sLY8JQ+qqrJ//37CwsIICwtj27ZtxMXFERwcTKNGjawdoxAFQviOa+xbfxGAJi+VN09sflJpbTQ4e2ZeteleMtKNJMWlkRyfTnJcGknxaSTHp5Ecl/7v6/g0kuLTSU1Ix2RSyUgzkRCdSkJ07pKNLLZ6LXqDDTp7G/T2NugMNujsbr+2tzGv09lr0ekzn23vfLbTorXVWHXokEaj4OGox8NRTyW/u/eJ1Axj5tmJ+FSi4lOJSsh8vnH7OSo+1Tz3IjY5HVWFW0np3EpK52xUYq7jsbPV4GJvi7OdLU52Njjffu2o13D9ioZLf57DzVGPk50tTnobHPQ2OGY97Gxw0GvR20gCIkSW5Ixkai+t/dj3+0+PfzDY5vyjxd38+OOPlC9fnnLlytGrVy+GDBnCyJEjs33mjR07lunTp2MwGOjWrRvdunVDr9ezdOlSEhIS6NSpE19//TXvv/8+ABMnTuT7779n1qxZBAYG8ueff9KrVy+8vLwsvveNGDGCL774glKlSuHm5kZYWJjFfr/55huGDh3K//73P9q0aUNsbCzbt283r9doNHz11VeULFmSs2fP8tZbb/Hee+8xc+ZMc52kpCS++OILvvvuOzQaDb169WLYsGEsWbLkgd6rLIqisGjRIoKCgvjqq68YPHgw/fv3p2jRoowePdqi7vDhw/nyyy8pUqQIH3zwAR06dODkyZPY2tqaY/vss8+YO3cuHh4eeHt7M3DgQI4dO8ayZcvw8/Nj5cqVtG7dmsOHDxMYGMiAAQNIS0vjzz//xMHBgWPHjpmTpVGjRnHs2DHWrl2Lp6cnp0+fJjn58Sey/5Wn5MHd3Z2EhARCQkJo1KgRr732Gs888wyurq55CmLGjBlMmjSJiIgIQkJC+Prrr6lVq9Zd6//000+MGjWK8+fPExgYyGeffUbbtm3ztG8hcuPq6Ri2fJ95ZaUabQMoVzv7rxdPKxtbLc4e9rk6C6OqKmkpRlIS0khJyCA5IY2UxHRSEjIfyYnppCZmkJqUTmrSnc8ZAKSnGklPNUIuz3DkRKNRsLXTZj70Ntjqtdkfuqz1Wmx0Gmx0mWVZr21uvzaX2WrR6jTY2GjuOsFcb6O9Pdn6/u9TutFETFK6eRJ35iMzuYhJSic2OZ2YpDRiktOJTUon5vaySYWUdBMp6alExuX0HmnYdOXUffev02rMiYSDzgaDTouDPvPZ8J9lB50Ndjot9rZaDLef7XN4trPVYmejwaYQX+FLiIJu3rx59OrVC4DWrVsTGxvL1q1bzb9yZ/nkk0+oX78+AP369WPkyJGcOXOGUqVKAdC1a1e2bNnC+++/T2pqKp9++imbNm2ibt26AJQqVYpt27Yxe/Zsi+Rh/PjxtGjR4q7xffLJJ7z77rsMHjzYXFazZk3z6yFDhphfBwQE8Mknn9C/f3+L5CE9PZ1Zs2aZb1I8cOBAxo8ff9/3pl69etmGECUkJABQtGhRZs+eTe/evYmIiOCPP/5g//792NhYfk0eM2aM+fgWLVpEsWLFWLlyJd26dTPHNnPmTEJCQgC4ePEiCxYs4OLFi+bhY8OGDWPdunUsWLCATz/9lIsXL9KlSxeCgoIAzH+DrO2rVq1KjRo1zO9JQZCn5OH777/nmWeewdnZ+aEDWL58OUOHDmXWrFnUrl2badOm0apVK06cOIG3t3e2+n///TcvvvgiEydOpH379ixdupSOHTuyb98+86kjIawp7kYya2cdxmRUKV3Ni1rtc554Je5PURT0t88auDzAVZ1NJpW05AxSEjOTibTkzEfqf54zH0ZSk9NJTzGSlmIkPSUj8znVaG7r34Qk70nI3WhtNNjoNGhtNdjY3k42bDOXtTaaf19nLdtYLv/7UNDYaHC30eBlo0VrcEDr7ITGRoNWm7lOa6Og0WY+K4pCsmoiIc1IfGoGCWkZxKdnEJ9qJC45ndikVA4dP427bzESU43EpaSTmGokMTUjs35KBsnpme9RmtF0O2Gx+tuDjUbJTCRsNehtMp8zl7XobTS3H1r0thp0Wg362/X0Nhp0WQ+txmLZVptZdud629sPnY1ifm2jVczrbLQKthqNXIJX3Je9jT3/9PgnX/b7IE6cOMGuXbtYuXIlADY2NnTv3p158+ZlSx6Cg4PNr318fDAYDBZfWn18fNi1axcAp0+fJikpKVtSkJaWRtWqVS3Ksr7k5uT69etcvXqVZs2a3bXOpk2bmDhxIuHh4cTFxZGRkUFKSgpJSUnmIVQGg8GcOAD4+vpy/fr1u7aZZfny5VSoUOGu659//nlWrlzJ//73P7755pscb3qclTxB5g/p5cqV4/jx4+YynU5n8d4ePnwYo9GYbS5wamqqeb7F22+/zZtvvsmGDRto3rw5Xbp0Mbfx5ptv0qVLF/bt20fLli3p2LEj9erVu++xPmp5Sh7atWtntQCmTJnCa6+9Zh6/NWvWLNasWcP8+fMZMWJEtvpffvklrVu3Zvjw4QB8/PHHbNy4kenTpzNr1iyrxfWgEuLiOLhzIzfOh7NrSwZaRU77F0YmVSUjXSUt2YQx3UhasolLJ5NJScrA4GGDU0As/4SeeSyxGFWj9KfcsgNbO7B1A4e7VFFVFZMKGWkqxgwVY5rp9hwtMGaomNJUjEYTGSYVUwaY0jPrqUYVoymzjtGoYsp6ZJgwZoDJqIJ6x45MQMrtR0GgZM5x0QAhZGB7IQJFq8DtMjQKiobMh82/h6JaPDL/l4FqLjOiYjKpGDFhMqmkm0wAGFUwqrffM0ykG1WMJtXcZlbr6u3Y1Gz7gnQgDRVVsYzl3zZu//9/tr9zvXp7/X+3ujOGrPdHczuJUACtRsl8rQEtoCHzbJVGm/k+KihoFIXMt1BBq81MijWZbymKomROdNdo0KCgVW63p2S2pZC5nQYlsz0lcz+KcrtOZoXb62+3qQHldluKktmGcsdrDYCSGb/C7W0VbreXWSnrtaLc7hNZ25HZD7LKuWObzHqZx8vt+srtH25NRiOR509x61Y9vL2f7Ps7KYrywMOH8sO8efPIyMiwmCCtqip6vZ7p06fj4vLvsMqsYTaQeXx3LmeVmW7/m876dX7NmjUULVrUop5er7dYdnC42ycw2NvfOxk6f/487du3580332TChAm4u7uzbds2+vXrR1pamjl5yClWVVVzatKCv78/Zcrc/X5MSUlJ7N27F61Wy6lT9z9DmxN7e8t5KgkJCWi1WnO7d8oamvTqq6/SqlUr1qxZw4YNG5g4cSKTJ09m0KBBtGnThgsXLvDHH3+wceNGmjVrxoABA/jiiy/yFJ+15OtlYtLS0ti7dy8jR440l2k0Gpo3b86OHTty3GbHjh0MHTrUoqxVq1asWrUqx/qpqamkpv7762JsbOb17qOjo0lPT3/II/jXpmUrOR36EwARW/+0Wrui4EiOgLDj969nbdKfhDU9itGyGkB/31pPt8yE68kzO8qRt97pZdU24+PjAXL1hVBkysjIYPHixUyePJmWLVtarOvYsSM//PAD/fv3z1PbFStWRK/Xc/HixYea1+rk5ERAQAChoaE0adIk2/q9e/diMpmYPHmyeXjRjz/+mOf9Pah3330XjUbD2rVradu2Le3ataNp06YWdXbu3Enx4sUBuHXrFidPnrzn2YyqVatiNBq5fv06zzzzzF3r+fv7079/f/r378/IkSP59ttvzZe49fLyok+fPvTp04dnnnmG4cOHP93Jw40bNzAajfj4+FiU+/j4EB4enuM2EREROdaPiIjIsf7EiRMZN25ctvK7XfNXCCGEELm0cgOjJwx5JE3Hx8db/Fou7m716tXcunWLfv36ZXvPunTpwrx58/KcPDg5OTFs2DDeeecdTCYTDRo0ME90dnZ2pk+fPrlua+zYsfTv3x9vb2/atGlDfHw827dvZ9CgQZQpU4b09HS+/vprOnTowPbt2606ouTmzZvZviu6urpiZ2dnHvGyY8cOqlWrxvDhw+nTpw+HDh2yuPnx+PHj8fDwwMfHhw8//BBPT086dux4132WLVuWnj170rt3byZPnkzVqlWJiooiNDSU4OBg2rVrx5AhQ2jTpg1ly5bl1q1bbNmyxZyQjB49murVq1OpUiVSU1NZvXr1PZOVx6XgXaDeykaOHGlxpsJkMhEdHY2Hh8ddr7hSs2ZNdu/efdc277Y+Li4Of39/Ll26ZJX5II/D/Y61IO4nr2096Ha5rZ/X/nK/9dKfHs++Clt/ul+dJ6k/QeH7jHqYdh5Fn7JGnZzWP8r+pKoq8fHx+XJ/gsJq3rx5NG/ePMdkq0uXLnz++eccOnQoz+1//PHHeHl5MXHiRM6ePYurqyvVqlWzuAxsbvTp04eUlBSmTp3KsGHD8PT0NF/uNSQkhClTpvDZZ58xcuRIGjZsyMSJE+ndu3ee475T8+bNs5X98MMPNGvWjH79+jF27FiqVasGwLhx49iwYQP9+/dn+fLl5vr/+9//GDx4MKdOnaJKlSr8/vvv6HS6e+53wYIF5oniV65cwdPTkzp16tC+fXsg834QAwYM4PLlyzg7O9O6dWumTp0KZM6hGDlyJOfPn8fe3p5nnnmGZcuWWeX9eChqPkpNTVW1Wq26cuVKi/LevXurzz77bI7b+Pv7q1OnTrUoGz16tBocHGy1uCpUqJCn9bGxsSqgxsbGWi2WR+1+x1oQ95PXth50u9zWz2t/ud966U+PZ1+FrT/dr86T1J9UtfB9Rj1MO4+iT1mjTk7rC2t/up/k5GT12LFjanJycn6HIgqQLVu2qIB669at/A7lkXmQvp+v18zT6XRUr16d0NBQc5nJZCI0NNRiRvud6tata1EfYOPGjXetnxcDBgx4qPWFyeM6FmvuJ69tPeh2ua3/sP1F+lP+7quw9af71XmS+hMUvs+oh2nnUfQpa9R50vqUEOLhKKqavzOSli9fTp8+fZg9eza1atVi2rRp/Pjjj4SHh+Pj40Pv3r0pWrQoEydOBDIv1dqoUSP+97//0a5dO5YtW8ann35aIC7VGhcXh4uLC7GxsYVqWIAomKQ/CWuS/iSs6UntTykpKZw7d46SJUtiZ2eX3+GIAiLrDtO3bt3K8z3NCroH6fv5Puehe/fuREVFMXr0aCIiIqhSpQrr1q0zT4q+ePGixU096tWrx9KlS/noo4/44IMPCAwMZNWqVfmeOEDmJcvGjBmT7dJlQuSF9CdhTdKfhDVJfxJPk8aNG8vVv+6Q72cehBBCCCEKAjnzIJ5WD9L383XOgxBCCCGEEKLwkORBCCGEEEIIkSuSPAghhBBCCCFyRZIHIYQQQgghRK5I8iCEEEIIIe7r/PnzKIrCgQMH8jsUkY8keXhMVq9eTbly5QgMDGTu3Ln5HY4o5Dp16oSbmxtdu3bN71DEE+DSpUs0btyYihUrEhwczE8//ZTfIYlCLCYmhho1alClShUqV67Mt99+m98hPRX69u2Loijmh4eHB61bt+bQoUNW24e/vz/Xrl0rEJfHF/lHLtX6GGRkZFCxYkW2bNmCi4sL1atX5++//8bDwyO/QxOFVFhYGPHx8SxatIiff/45v8MRhdy1a9eIjIykSpUqREREUL16dU6ePImDg0N+hyYKIaPRSGpqKgaDgcTERCpXrsyePXsKxX/zCvOlWvv27UtkZCQLFiwAICIigo8++ohDhw5x8eLFfI5OFHRyqdYCZteuXVSqVImiRYvi6OhImzZt2LBhQ36HJQqxxo0b4+TklN9hiCeEr68vVapUAaBIkSJ4enoSHR2dv0GJQkur1WIwGABITU1FVVW5wdZjotfrKVKkCEWKFKFKlSqMGDGCS5cuERUVBcDhw4dp2rQp9vb2eHh48Prrr5OQkGDRxty5c6lQoQJ2dnaUL1+emTNnmtf9d9hSWFgYiqIQGhpKjRo1MBgM1KtXjxMnTli0+cknn+Dt7Y2TkxOvvvoqI0aMMH/miMJHkodc+PPPP+nQoQN+fn4oisKqVauy1ZkxYwYBAQHY2dlRu3Ztdu3aZV539epVihYtal4uWrQoV65ceRyhiwLoYfuTEP9lzT61d+9ejEYj/v7+jzhqUVBZoz/FxMQQEhJCsWLFGD58OJ6eno8peutTVRVTUtJjfzxswpWQkMD3339PmTJl8PDwIDExkVatWuHm5sbu3bv56aef2LRpEwMHDjRvs2TJEkaPHs2ECRM4fvw4n376KaNGjWLRokX33NeHH37I5MmT2bNnDzY2NrzyyisWbU6YMIHPPvuMvXv3Urx4cb755puHOjaRv2zyO4DCIDExkZCQEF555RU6d+6cbf3y5csZOnQos2bNonbt2kybNo1WrVpx4sQJvL298yFiUZBJfxLWZq0+FR0dTe/evWWM+lPOGv3J1dWVgwcPEhkZSefOnenatSs+Pj6P+1CsQk1O5kS16o99v+X27UW5fQYnt1avXo2joyOQ+Xf09fVl9erVaDQali5dSkpKCosXLzYPSZw+fTodOnTgs88+w8fHhzFjxjB58mTz371kyZIcO3aM2bNn06dPn7vud8KECTRq1AiAESNG0K5dO1JSUrCzs+Prr7+mX79+vPzyywCMHj2aDRs2ZDvjIQoPOfOQC23atOGTTz6hU6dOOa6fMmUKr732Gi+//DIVK1Zk1qxZGAwG5s+fD4Cfn5/FmYYrV67g5+f3WGIXBc/D9ich/ssafSo1NZWOHTsyYsQI6tWr97hCFwWQNT+jfHx8CAkJ4a+//nrUYQugSZMmHDhwgAMHDrBr1y5atWpFmzZtuHDhAsePHyckJMRiLlP9+vUxmUycOHGCxMREzpw5Q79+/XB0dDQ/PvnkE86cOXPP/QYHB5tf+/r6AnD9+nUATpw4Qa1atSzq/3dZFC5y5uEhpaWlsXfvXkaOHGku02g0NG/enB07dgCZ/0iOHDnClStXcHFxYe3atYwaNSq/QhYFWG76kxAPIjd9SlVV+vbtS9OmTXnppZfyK1RRCOSmP0VGRmIwGHByciI2NpY///yTN998M79CfmiKvT3l9u3Nl/0+KAcHB8qUKWNenjt3Li4uLrk6m5h1JuDbb7+ldu3aFuu0Wu09t7W1tTW/VhQFAJPJlOu4ReEiycNDunHjBkajMdvpWB8fH8LDwwGwsbFh8uTJNGnSBJPJxHvvvVcorjohHr/c9CeA5s2bc/DgQRITEylWrBg//fQTdevWfdzhikIgN31q+/btLF++nODgYPP49u+++46goKDHHa4o4HLTny5cuMDrr79unig9aNCgQt2XFEV54OFDBYWiKGg0GpKTk6lQoQILFy4kMTHRfPZh+/btaDQaypUrh4+PD35+fpw9e5aePXtaLYZy5cqxe/duevfubS7bvXu31doXj58kD4/Js88+y7PPPpvfYYgnxKZNm/I7BPEEadCggfxKKKymVq1achOxfJKamkpERAQAt27dYvr06SQkJNChQwdq1arFmDFj6NOnD2PHjiUqKopBgwbx0ksvmZPBcePG8fbbb+Pi4kLr1q1JTU1lz5493Lp1i6FDh+YppkGDBvHaa69Ro0YN6tWrx/Llyzl06BClSpWy2nGLx0uSh4fk6emJVqslMjLSojwyMpIiRYrkU1SisJL+JKxN+pSwJulPBdu6devMcw6cnJwoX748P/30E40bNwZg/fr1DB48mJo1a2IwGOjSpQtTpkwxb//qq69iMBiYNGkSw4cPx8HBgaCgIIYMGZLnmHr27MnZs2cZNmwYKSkpdOvWjb59+8pVBAsxmTD9kHQ6HdWrVyc0NNRcZjKZCA0NlWEk4oFJfxLWJn1KWJP0p4Jr4cKF5qFiqqoSFxfHrl276NKli7lOUFAQmzdvJjk5mZs3bzJnzhzz1Zmy9OjRg/3795Oamkp0dDRbt241T54PCAhAVVXzPRoaN26Mqqq4urqat69SpQqqqhIQEGAuGzVqFFFRUcTHxzNv3jyOHTtmMTdDFC5y5iEXEhISOH36tHn53LlzHDhwAHd3d4oXL87QoUPp06cPNWrUoFatWkybNo3ExETzZcmEuJP0J2Ft0qeENUl/EtaUlJTErFmzaNWqFVqtlh9++IFNmzaxcePG/A5N5JUq7mvLli0qkO3Rp08fc52vv/5aLV68uKrT6dRatWqpO3fuzL+ARYEm/UlYm/QpYU1Pc39KTk5Wjx07piYnJ+d3KE+MpKQktVmzZqq7u7tqMBjUqlWrqr/88kt+hyX+40H6vqKqcs94IYQQQoiUlBTOnTtHyZIlsbOzy+9whHhsHqTvy5wHIYQQQgghRK5I8iCEEEIIIYTIFUkehBBCCCGEELkiyYMQQgghhBAiVyR5EEIIIYQQQuSKJA9CCCGEEEKIXJHkQQghhBBC5IvGjRszZMgQ83JAQADTpk0zLyuKwqpVqx57XOLuJHkQQgghhHgCREREMGjQIEqVKoVer8ff358OHToQGhqaq+0XLlyIq6vrow3yP1asWMHHH3/8WPcpHo5NfgcghBBCCCEezvnz56lfvz6urq5MmjSJoKAg0tPTWb9+PQMGDCA8PPyxxWI0GlEUBY3m/r9Ru7u7P9JY0tLS0Ol0j3QfTxs58yCEEEIIUci99dZbKIrCrl276NKlC2XLlqVSpUoMHTqUnTt3AjBlyhSCgoJwcHDA39+ft956i4SEBADCwsJ4+eWXiY2NRVEUFEVh7NixAKSmpjJs2DCKFi2Kg4MDtWvXJiwszLzvrDMWv/32GxUrVkSv13Px4kX69u1Lx44dGTduHF5eXjg7O9O/f3/S0tLM2/532NL9vP/++5QtWxaDwUCpUqUYNWoU6enp5vVjx46lSpUqzJ07V+4U/ohI8iCEyOZBPswf9IO/IHtcxzJixAj0ej09evR45PsSQjwcVVVJTzU+9oeqqrmOMTo6mnXr1jFgwAAcHByyrc8aiqTRaPjqq684evQoixYtYvPmzbz33nsA1KtXj2nTpuHs7My1a9e4du0aw4YNA2DgwIHs2LGDZcuWcejQIZ5//nlat27NqVOnzPtISkris88+Y+7cuRw9ehRvb28AQkNDOX78OGFhYfzwww+sWLGCcePG5fXPgZOTEwsXLuTYsWN8+eWXfPvtt0ydOtWizunTp/nll19YsWIFBw4cyPO+RM5k2JIQIpsVK1Zga2ub32E8do/ruEeOHEmxYsUYNGgQ48ePp0yZMo98n0KIvMlIMzFn8NbHvt/Xv2yErV6bq7qnT59GVVXKly9/z3r/nZj8ySef0L9/f2bOnIlOp8PFxQVFUShSpIi53sWLF1mwYAEXL17Ez88PgGHDhrFu3ToWLFjAp59+CkB6ejozZ84kJCTEYp86nY758+djMBioVKkS48ePZ/jw4Xz88ce5Gtb0Xx999JHFMQwbNoxly5aZkyDIHKq0ePFivLy8Hrh9cX+SPAghLKSlpT3yMaj5ITfjXh/Xcbu4uNCvXz8GDx7M4cOHJXkQQjyU3J6l2LRpExMnTiQ8PJy4uDgyMjJISUkhKSkJg8GQ4zaHDx/GaDRStmxZi/LU1FQ8PDzMyzqdjuDg4Gzbh4SEWLRdt25dEhISuHTpEiVKlMhV3Hdavnw5X331FWfOnCEhIYGMjAycnZ0t6pQoUUISh0dIkgchnnKNGzemcuXK2NjY8P333xMUFISqqlSpUsV8ubyff/6ZcePGcfr0aQwGA1WrVuXXX3/N8fT4mjVr6NGjBzNnzqRnz5457nPdunV88sknHDlyBK1WS926dfnyyy8pXbo0c+bMYezYsVy+fNniV6nnnnsODw8P5s+fj8lk4rPPPmPOnDlERERQtmxZRo0aRdeuXe95XFu2bLnnsTRu3NjiuFNTUxk+fDjLli0jLi6OGjVqMHXqVGrWrGneR3BwMHZ2dsydOxedTkf//v3N44TvJSMjA4PBwJEjR+jUqVMu/1pCiMfNRqfh9S8b5ct+cyswMBBFUe45Kfr8+fO0b9+eN998kwkTJuDu7s62bdvo168faWlpd00eEhIS0Gq17N27F63W8kyIo6Oj+bW9vT2KouQ65rzYsWMHPXv2ZNy4cbRq1QoXFxeWLVvG5MmTLerl9N8mYT0y50EIwaJFi9DpdGzfvp1Zs2ZZrLt27Rovvvgir7zyinncaufOnXP8pWvp0qW8+OKLLFmy5K6JA0BiYiJDhw5lz549hIaGotFo6NSpEyaTieeff56bN2+yZcsWc/2s8bxZbU6cOJHFixcza9Ysjh49yjvvvEOvXr3YutVyaMF/j+tBjgXgvffe45dffmHRokXs27ePMmXK0KpVK6Kjoy324eDgwD///MPnn3/O+PHj2bhx433f848++oiEhASOHDly37pCiPyjKAq2eu1jfzzIF3F3d3datWrFjBkzSExMzLY+JiaGvXv3YjKZmDx5MnXq1KFs2bJcvXrVop5Op8NoNFqUVa1aFaPRyPXr1ylTpozF487hTXdz8OBBkpOTzcs7d+7E0dERf3//XB9flr///psSJUrw4YcfUqNGDQIDA7lw4cIDtyMejpx5EEIQGBjI559/nuO6a9eukZGRQefOnc2nmIOCgrLVmzFjBh9++CG///47jRrd+1e6Ll26WCzPnz8fLy8vjh07RuXKlWnTpg1Lly6lWbNmQOaZD09PT5o0aUJqaiqffvopmzZtom7dugCUKlWKbdu2MXv2bIt9//e49u3bl6tjgcwE55tvvmHhwoW0adMGgG+//ZaNGzcyb948hg8fDkBwcDBjxowx72/69OmEhobSokWLux7/3r17mTVrFu3atZPkQQhhFTNmzKB+/frUqlWL8ePHExwcTEZGBhs3buSbb75h2bJlpKen8/XXX9OhQ4ccfywKCAggISGB0NBQ83CjsmXL0rNnT3r37s3kyZOpWrUqUVFRhIaGEhwcTLt27e4ZV1paGv369eOjjz7i/PnzjBkzhoEDB+ZpvkNgYCAXL15k2bJl1KxZkzVr1rBy5coHbkc8HDnzIISgevXqd10XEhJCs2bNCAoK4vnnn+fbb7/l1q1bFnV+/vln3nnnHTZu3HjfxAHg1KlTvPjii5QqVQpnZ2cCAgKAzIl5AD179uSXX34hNTUVgCVLlvDCCy+g0Wg4ffo0SUlJtGjRAkdHR/Nj8eLFnDlz5p7HlZtjyXLmzBnS09OpX7++uczW1pZatWpx/Phxc9l/x/j6+vpy/fr1ux67yWTijTfeYODAgfTu3ZtTp05ZXGZQCCHyolSpUuzbt48mTZrw7rvvUrlyZVq0aEFoaCjffPMNISEhTJkyhc8++4zKlSuzZMkSJk6caNFGvXr16N+/P927d8fLy8v848uCBQvo3bs37777LuXKlaNjx47s3r2b4sWL3zeuZs2aERgYSMOGDenevTvPPvtsroZ25uTZZ5/lnXfeYeDAgVSpUoW///6bUaNG5aktkXeK+iDXAhNCPHH+O84/pzJVVfn777/ZsGEDK1euJCIign/++YeSJUvSuHFjnJyc2LdvH88++ywzZ8687+n28uXLU6JECd577z38/PwwmUxUrlyZlStX0rFjR1JSUvDx8WHBggXUrFmTEiVKsGfPHqpVq8Y///xDnTp1CAsLo2jRohbtZt1R9W7HlZtjydrm0KFDhISEcP78eYtJfZ06dcLNzY358+fnuI+OHTvi6urKwoULczz2L7/8kqlTp3L06FEuXrxIxYoVOXTo0F3PgAghHp+UlBTOnTsn9wewkr59+xITE8OqVavyOxRxHw/S9+XMgxDivhRFoX79+owbN479+/ej0+ksThWXLl2aLVu28OuvvzJo0KB7tnXz5k1OnDjBRx99RLNmzahQoUK2X//t7Ozo3LkzS5Ys4YcffqBcuXJUq1YNwOIGRP8df5ubMbT3O5Y7jylrvkSW9PR0du/eTcWKFe+7n5xcuXKFUaNGMWPGDBwcHAgMDESv18vQJSGEEIWGzHkQQtzTP//8Q2hoKC1btsTb25t//vmHqKgoKlSoYFGvbNmybNmyhcaNG2NjY5PtF/8sbm5ueHh4MGfOHHx9fbl48SIjRozIVq9nz560b9+eo0eP0qtXL3O5k5MTw4YN45133sFkMtGgQQNiY2PZvn07zs7O9OnT56GPBTKv1vHmm28yfPhw3N3dKV68OJ9//jlJSUn069cvl++epbfffps2bdqYxwjb2NhQoUIFSR6EEEIUGpI8CCHuydnZmT///JNp06YRFxdHiRIlmDx5snkS8Z3KlSvH5s2bady4MVqtNtvl8yDzDqfLli3j7bffpnLlypQrV46vvvqKxo0bW9Rr2rQp7u7unDhxItudmD/++GO8vLyYOHEiZ8+exdXVlWrVqvHBBx9Y7VgA/ve//2EymXjppZeIj4+nRo0arF+/Hjc3t/u8a9mtXr2azZs3W8yXgMwJ25I8CCGeRHcbvikKN5nzIIQQQgiBzHkQTy+Z8yCEEEIIIYSwOkkehBBCCCGEELkiyYMQQgghhBAiVyR5EEIIIYQQQuSKJA9CCCGEEEKIXJHkQQghhBDiKaAoitztWTw0SR6EEEIIIZ4AERERDBo0iFKlSqHX6/H396dDhw6Ehobmd2jiCSI3iRNCCCGEKOTOnz9P/fr1cXV1ZdKkSQQFBZGens769esZMGAA4eHh+RJXWloaOp0uX/YtHg058yCEEEIIUci99dZbKIrCrl276NKlC2XLlqVSpUoMHTqUnTt3muvduHGDTp06YTAYCAwM5LfffrNo58iRI7Rp0wZHR0d8fHx46aWXuHHjBgBz5szBz88Pk8lksc1zzz3HK6+8AsDYsWOpUqUKc+fOtbjh2MWLF3nuuedwdHTE2dmZbt26ERkZaW4ja7vvvvuOgIAAXFxceOGFF4iPj38k75fIO0kehBBCCCHuQlVV0lNSHvtDVdVcxxgdHc26desYMGAADg4O2da7urqaX48bN45u3bpx6NAh2rZtS8+ePYmOjgYgJiaGpk2bUrVqVfbs2cO6deuIjIykW7duADz//PPcvHmTLVu2ZNt3z549zWWnT5/ml19+YcWKFRw4cACTycRzzz1HdHQ0W7duZePGjZw9e5bu3btbxHnmzBlWrVrF6tWrWb16NVu3buV///tfrt8H8XjIsCUhhBBCiLvISE3lqz5dH/t+3170M7a3f7W/n9OnT6OqKuXLl79v3b59+/Liiy8C8Omnn/LVV1+xa9cuWrduzfTp06latSqffvqpuf78+fPx9/fn5MmTlC1bljZt2rB06VKaNWsGwM8//4ynpydNmjQxb5OWlsbixYvx8vICYOPGjRw+fJhz587h7+8PwOLFi6lUqRK7d++mZs2aAJhMJhYuXIiTkxMAL730EqGhoUyYMCFX74N4POTMgxBCCCFEIfYgZymCg4PNrx0cHHB2dub69esAHDx4kC1btuDo6Gh+ZCUkZ86cAaBnz5788ssvpKamArBkyRJeeOEFNJp/v1KWKFHCnDgAHD9+HH9/f3PiAFCxYkVcXV05fvy4uSwgIMCcOAD4+vqaYxMFh5x5EEIIIYS4Cxu9nrcX/Zwv+82twMBAFEXJ1aRoW1tbi2VFUcxzGBISEujQoQOfffZZtu18fX0B6NChA6qqsmbNGmrWrMlff/3F1KlTLermNHQqN+4Vmyg4JHkQQgghhLgLRVFyPXwov7i7u9OqVStmzJjB22+/ne3Le0xMjMW8h7upVq0av/zyCwEBAdjY5PwV0c7Ojs6dO7NkyRJOnz5NuXLlqFat2j3brVChApcuXeLSpUvmsw/Hjh0jJiaGihUr5u4gRYEhw5aEEEIIIQq5GTNmYDQaqVWrFr/88gunTp3i+PHjfPXVV9StWzdXbQwYMIDo6GhefPFFdu/ezZkzZ1i/fj0vv/wyRqPRXK9nz56sWbOG+fPnW0yUvpvmzZsTFBREz5492bdvH7t27aJ37940atSIGjVq5PmYRf6Q5EEIIYQQopArVaoU+/bto0mTJrz77rtUrlyZFi1aEBoayjfffJOrNvz8/Ni+fTtGo5GWLVsSFBTEkCFDcHV1tZjT0LRpU9zd3Tlx4gQ9evS4b7uKovDrr7/i5uZGw4YNad68OaVKlWL58uV5Pl6RfxT1QWbZCCGEEEI8oVJSUjh37pzF/QmEeBo8SN+XMw9CCCGEEEKIXJHkQQghhBBCCJErkjwIIYQQQgghckWSByGEEEIIIUSuSPIghBBCCCGEyBVJHoQQQgghhBC5IsmDEEIIIYQQIlckeRBCCCGEEELkiiQPQgghhBBCiFyR5EEIIYQQQjyVFEVh1apV+R1GoSLJgxBCCCFEIde3b186duxofq0oCoqioNPpKFOmDOPHjycjIwOAsLAwFEXBzc2NlJQUi3Z2795t3rawi4iIYNCgQZQqVQq9Xo+/vz8dOnQgNDQ0v0Mr1CR5EEIIIYR4wrRu3Zpr165x6tQp3n33XcaOHcukSZMs6jg5ObFy5UqLsnnz5lG8ePGH3n9aWtpDt/Ewzp8/T/Xq1dm8eTOTJk3i8OHDrFu3jiZNmjBgwIB8ja2wk+RBCCGEEOIJo9frKVKkCCVKlODNN9+kefPm/PbbbxZ1+vTpw/z5883LycnJLFu2jD59+mRr75dffqFSpUro9XoCAgKYPHmyxfqAgAA+/vhjevfujbOzM6+//joA3377Lf7+/hgMBjp16sSUKVNwdXU1b3fmzBmee+45fHx8cHR0pGbNmmzatClb259++imvvPIKTk5OFC9enDlz5tzz+N966y0URWHXrl106dKFsmXLUqlSJYYOHcrOnTst6t64cYNOnTphMBgIDAy0eJ+MRiP9+vWjZMmS2NvbU65cOb788kuL7cPCwqhVqxYODg64urpSv359Lly4YF7/66+/Uq1aNezs7ChVqhTjxo0znwUqjCR5EEIIIYS4C1VVMaUZH/tDVVWrHoe9vX22swEvvfQSf/31FxcvXgQyE4SAgACqVatmUW/v3r1069aNF154gcOHDzN27FhGjRrFwoULLep98cUXhISEsH//fkaNGsX27dvp378/gwcP5sCBA7Ro0YIJEyZYbJOQkEDbtm0JDQ1l//79tG7dmg4dOphjyjJ58mRq1KjB/v37eeutt3jzzTc5ceJEjscaHR3NunXrGDBgAA4ODtnW35m8AIwbN45u3bpx6NAh2rZtS8+ePYmOjgbAZDJRrFgxfvrpJ44dO8bo0aP54IMP+PHHHwHIyMigY8eONGrUiEOHDrFjxw5ef/1187Cvv/76i969ezN48GCOHTvG7NmzWbhwYbb3oTBRVGv3TiGEEEKIQiglJYVz585RsmRJ7OzsADClGbk6+u/HHovf+HpodNpc1+/bty8xMTGsWrXK4rWqqoSGhtK+fXsGDRrEpEmTCAsLo0mTJty6dYuXX36ZqlWrMnr0aJo2bUrHjh0pXrw4nTp1MicwPXv2JCoqig0bNpj3995777FmzRqOHj0KZJ4dqFq1qsUwqBdeeIGEhARWr15tLuvVqxerV68mJibmrsdSuXJl+vfvz8CBA81tP/PMM3z33XdAZkJXpEgRxo0bR//+/bNtv2vXLmrXrs2KFSvo1KnTPd83RVH46KOP+PjjjwFITEzE0dGRtWvX0rp16xy3GThwIBEREfz8889ER0fj4eFBWFgYjRo1yla3efPmNGvWjJEjR5rLvv/+e9577z2uXr16z9gep5z6/t3ImQchhBBCiCfM6tWrcXR0xM7OjjZt2tC9e3fGjh2brd4rr7zCwoULOXv2LDt27KBnz57Z6hw/fpz69etblNWvX59Tp05hNBrNZTVq1LCoc+LECWrVqmVR9t/lhIQEhg0bRoUKFXB1dcXR0ZHjx49nO/MQHBxsfq0oCkWKFOH69es5HvuD/i5+Z9sODg44OztbtD1jxgyqV6+Ol5cXjo6OzJkzxxyfu7s7ffv2pVWrVnTo0IEvv/ySa9eumbc9ePAg48ePx9HR0fx47bXXuHbtGklJSQ8UZ0Fhk98BCCGEEEIUVIqtBr/x9fJlvw+jSZMmfPPNN+h0Ovz8/LCxyfkrX5s2bXj99dfp168fHTp0wMPDI8/7zGmI0P0MGzaMjRs38sUXX1CmTBns7e3p2rVrtiFWtra2FsuKomAymXJsMzAwEEVRCA8Pz1UM92p72bJlDBs2jMmTJ1O3bl2cnJyYNGkS//zzj7n+ggULePvtt1m3bh3Lly/no48+YuPGjdSpU4eEhATGjRtH586ds+33fr/wF1SSPAghhBBC3IWiKCgPMHyooHBwcKBMmTL3rWdjY0Pv3r35/PPPWbt2bY51KlSowPbt2y3Ktm/fTtmyZdFq7/7elCtXjt27d1uU/Xd5+/bt9O3b1zy8KCEhgfPnz9837ntxd3enVatWzJgxg7fffjtbUhMTE5Nt3sPdbN++nXr16vHWW2+Zy86cOZOtXtWqValatSojR46kbt26LF26lDp16lCtWjVOnDiRq79FYSHDloQQQgghnmIff/wxUVFRtGrVKsf17777LqGhoXz88cecPHmSRYsWMX36dIYNG3bPdgcNGsQff/zBlClTOHXqFLNnz2bt2rUW95AIDAxkxYoVHDhwgIMHD9KjR4+7nlF4EDNmzMBoNFKrVi1++eUXTp06xfHjx/nqq6+oW7durtsJDAxkz549rF+/npMnTzJq1CiLBOjcuXOMHDmSHTt2cOHCBTZs2MCpU6eoUKECAKNHj2bx4sWMGzeOo0ePcvz4cZYtW8ZHH3300MeYXyR5EEIIIYQo5Ewm012HJt2PTqfD09PzrjeGq1atGj/++CPLli2jcuXKjB49mvHjx9O3b997tlu/fn1mzZrFlClTCAkJYd26dbzzzjsWw3WmTJmCm5sb9erVo0OHDrRq1Srb1Z7yolSpUuzbt48mTZrw7rvvUrlyZVq0aEFoaCjffPNNrtt544036Ny5M927d6d27drcvHnT4iyEwWAgPDzcfDnY119/nQEDBvDGG28A0KpVK1avXs2GDRuoWbMmderUYerUqZQoUeKhjzG/yNWWhBBCCCF4sCvOFDStW7emTJkyTJ8+Pb9DuafXXnuN8PBw/vrrr/wORdzhQfq+zHkQQgghhCikbt26xfbt2wkLC8vxsqX57YsvvqBFixY4ODiwdu1aFi1axMyZM/M7LPEQJHkQQoj/t3fv8T3X///Hb+8d3zuxETba0YbRHGYSE5OxCTmnSNZEOUQ5FUVDzmRESGaIDykkCSMjS3KOzHKYfMpQTjntYO/9/vDz/vaO6T2H7UP36+Xyuly8n6/H8/l8vF7ef7wfe76e77eIyAMqNjaW7du3079/f1q2bFnU6dzkhx9+YPz48Vy8eJGAgACmTp3Kyy+/XNRpyV3QY0siIiIiPNiPLYncDf1InIiIiIiI3HMqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERETkf1ZcXBzVq1e/bUxMTAytWrUqlHz+7VQ8iIiIiDzgYmJiMBgMt/yV6V69emEwGIiJibFqLIPBYD5cXFwICgoiJiaGnTt33uOs75+YmBji4uKKOo2HkooHERERkYeAt7c3ixcv5urVq+a2zMxMFi1ahI+PT4HGmjt3LhkZGfz0009Mnz6dS5cuUbt2bebPn3+v05YHjIoHERERkYdAaGgo3t7eLFu2zNy2bNkyfHx8qFGjhrnNZDIxfvx4AgMDcXR0xMfHh1GjRlmM5e7ujqenJ35+fjRp0oTPPvuMTp060bt3b86dO2eO+/zzz6lSpQqOjo74+fkxadIki3H8/PwYPXo0sbGxuLm54ePjw0cffWQR8+abb1KhQgWcnZ0JCAhg6NCh5OTk5Hudubm59OvXD3d3d0qWLMmgQYPIy8u77b358MMPCQoKwmg0UqZMGdq1a3fbeMmfigcRERGRfOTl5ZGdnV3oxz99GM5PbGwsc+fONb9OSEjgpZdesogZPHgwY8eOZejQoRw4cIBFixZRpkyZfxz7jTfe4OLFiyQlJQGwc+dOnn32WZ577jn27dtHXFwcQ4cOJTEx0aLfpEmTCAsLY/fu3fTs2ZMePXqQlpZmPu/m5kZiYiIHDhxgypQpzJ49m8mTJ+ebx6RJk0hMTCQhIYEtW7Zw9uxZli9fnm/8jh076NOnDyNGjCAtLY01a9ZQv379f7xeuTW7ok5ARERE5H9VTk4Oo0ePLvR5hwwZgoODQ4H7vfDCCwwePJhffvkFgJSUFBYvXkxycjIAFy9eZMqUKUybNo0uXboAUL58eerVq/ePY1eqVAmAY8eOAfD+++/TqFEjhg4dCkCFChU4cOAAEyZMsNhf8fTTT9OzZ0/g+irD5MmT2bhxIxUrVgTgnXfeMcf6+fkxYMAAFi9ezKBBg26ZR3x8PIMHD6ZNmzYAzJw5k7Vr11rE/LWAOX78OC4uLjRv3hw3Nzd8fX0tVmKkYFQ8iIiIiDwkSpUqRbNmzUhMTCQvL49mzZrxyCOPmM+npqaSlZVFo0aNCjz2jdUQg8FgHqtly5YWMeHh4cTHx5Obm4utrS0AVatWNZ83GAx4enpy+vRpc9uSJUuYOnUqR44c4dKlS1y7do1ixYrdMocLFy6QkZFB7dq1zW12dnaEhYXlu1rTuHFjfH19CQgIIDo6mujoaFq3bo2zs3OB74GoeBARERHJl729PUOGDCmSee9UbGwsvXv3BmD69OkW55ycnO543NTUVAD8/f0L1O/v12IwGDCZTABs3bqVTp06MXz4cKKioihevDiLFy++ae/E3XBzc2PXrl0kJyezbt06hg0bRlxcHNu3b8fd3f2ezfNvoT0PIiIiIvkwGAw4ODgU+nHjr/t3Ijo6muzsbHJycoiKirI4FxQUhJOTExs2bCjwuPHx8RQrVozIyEgAgoODSUlJsYhJSUmhQoUK5lWHf/Ldd9/h6+vL22+/TVhYGEFBQeZHrm6lePHieHl5sW3bNnPbtWvX/vFrZO3s7IiMjGT8+PH8+OOPHDt2jG+++caqHMWSVh5EREREHiK2trbmVYK/f4g3Go28+eabDBo0CAcHB8LDw/n999/56aef6Nq1qznu/PnznDx5kqysLH7++WdmzZrFihUrmD9/vvmv9f3796dWrVqMHDmSDh06sHXrVqZNm8aHH35oda5BQUEcP36cxYsXU6tWLb766qvbbn4G6Nu3L2PHjiUoKIhKlSrx/vvvc/78+XzjV61axdGjR6lfvz4eHh6sXr0ak8lk3nMhBaPiQUREROQhk9+eAYChQ4diZ2fHsGHDOHHiBF5eXjf9uNyNb2gyGo2UK1eOevXq8cMPPxAaGmqOCQ0N5dNPP2XYsGGMHDkSLy8vRowYYfWP0QE888wzvPHGG/Tu3ZusrCyaNWvG0KFDb/sDb/379ycjI4MuXbpgY2NDbGwsrVu35sKFC7eMd3d3Z9myZcTFxZGZmUlQUBD/+c9/qFKlitV5yv8x5N3pd4GJiIiIPEQyMzNJT0/H398fo9FY1OmIFJqCvPe150FERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERERERKyi4kFERETkATdjxgyqVq1KsWLFKFasGHXq1OHrr7++bZ+4uDgMBgPR0dE3nZswYQIGg4GIiIj7lLE8qFQ8iIiIiDzgHn30UcaOHcvOnTvZsWMHTz31FC1btuSnn366bT8vLy82btzIr7/+atGekJCAj4/P/UxZHlAqHkREREQecC1atODpp58mKCiIChUqMGrUKFxdXfn+++9v26906dI0adKEefPmmdu+++47/vjjD5o1a3a/05YHkF1RJyAiIiLyvyovLw+T6Wqhz2tj44TBYLijvrm5uSxdupTLly9Tp06df4yPjY1l0KBBvP3228D1VYdOnTrd0dzy8FPxICIiIpIPk+kqyZtCCn3eiAb7sLV1LlCfffv2UadOHTIzM3F1dWX58uVUrlz5H/s1b96cV199lc2bN1OzZk0+/fRTtmzZQkJCwp2mLw8xFQ8iIiIiD4GKFSuyZ88eLly4wGeffUaXLl3YtGnTPxYQ9vb2vPDCC8ydO5ejR49SoUIFqlatWkhZy4NGxYOIiIhIPmxsnIhosK9I5i0oBwcHAgMDAahZsybbt29nypQpzJo16x/7xsbGUrt2bfbv309sbGyB55Z/DxUPIiIiIvkwGAwFfnzof4XJZCIrK8uq2CpVqlClShV+/PFHOnbseJ8zkweZigcRERGRB9zgwYNp2rQpPj4+XLx4kUWLFpGcnMzatWutHuObb74hJycHd3f3+5eoPPBUPIiIiIg84E6fPs2LL75IRkYGxYsXp2rVqqxdu5bGjRtbPYaLi8t9zFAeFoa8vLy8ok5CREREpKhlZmaSnp6Ov78/RqOxqNMRKTQFee/rR+JERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERERMQqKh5ERERE/kUiIiJ4/fXXizqNfxQXF0eZMmUwGAysWLGiqNOR/0/Fg4iIiMgDLiYmBoPBwKuvvnrTuV69emEwGIiJiQFg2bJljBw5spAzLJjU1FSGDx/OrFmzyMjIoGnTpvj5+REfH1/Uqf3rqXgQEREReQh4e3uzePFirl69am7LzMxk0aJF+Pj4mNtKlCiBm5vbHc2Rl5fHtWvX7jrXf3LkyBEAWrZsiaenJ46Ojvd9TrGOigcRERGRh0BoaCje3t4sW7bM3LZs2TJ8fHyoUaOGue3vjy1lZWXx5ptv4u3tjaOjI4GBgcyZMweA5ORkDAYDX3/9NTVr1sTR0ZEtW7aQlZVFnz59KF26NEajkXr16rF9+3bzmOfOnaNTp06UKlUKJycngoKCmDt3rvn8vn37eOqpp3BycqJkyZJ0796dS5cuAdcfV2rRogUANjY2GAwGIiIi+OWXX3jjjTcwGAwYDIb7cg/ln9kVdQIiIiIi/6vy8vK4YjIV+rzO//9Dc0HFxsYyd+5cOnXqBEBCQgIvvfQSycnJ+fZ58cUX2bp1K1OnTqVatWqkp6fzxx9/WMS89dZbTJw4kYCAADw8PBg0aBCff/458+bNw9fXl/HjxxMVFcXhw4cpUaIEQ4cO5cCBA3z99dc88sgjHD582LwicvnyZaKioqhTpw7bt2/n9OnTvPzyy/Tu3ZvExEQGDBiAn58fL730EhkZGQA4ODhQrVo1unfvTrdu3Qp8X+TeUfEgIiIiko8rJhPlN+8r9HmP1A/Bxda2wP1eeOEFBg8ezC+//AJASkoKixcvzrd4+Pnnn/n0009JSkoiMjISgICAgJviRowYQePGjYHrH/5nzJhBYmIiTZs2BWD27NkkJSUxZ84cBg4cyPHjx6lRowZhYWEA+Pn5mcdatGgRmZmZzJ8/HxcXFwCmTZtGixYtGDduHGXKlMHd3R0AT09Pcz9bW1vc3Nws2qTwqXgQEREReUiUKlWKZs2akZiYSF5eHs2aNeORRx7JN37Pnj3Y2trSoEGD2457owiA6/sRcnJyCA8PN7fZ29vz+OOPk5qaCkCPHj1o27Ytu3btokmTJrRq1Yq6desC1zdDV6tWzVw4AISHh2MymUhLS6NMmTJ3dO1SOFQ8iIiIiOTD2caGI/VDimTeOxUbG0vv3r0BmD59+m1jnZycrBrzrx/0rdG0aVN++eUXVq9eTVJSEo0aNaJXr15MnDixQOPI/x5tmBYRERHJh8FgwMXWttCPu9kQHB0dTXZ2Njk5OURFRd02NiQkBJPJxKZNm6wev3z58jg4OJCSkmJuy8nJYfv27VSuXNncVqpUKbp06cInn3xCfHw8H330EQDBwcHs3buXy5cvm2NTUlKwsbGhYsWK+c7r4OBAbm6u1XnK/aHiQUREROQhYmtrS2pqKgcOHMD2H/ZN+Pn50aVLF2JjY1mxYgXp6ekkJyfz6aef5tvHxcWFHj16MHDgQNasWcOBAwfo1q0bV65coWvXrgAMGzaML774gsOHD/PTTz+xatUqgoODAejUqRNGo5EuXbqwf/9+Nm7cyGuvvUbnzp1v+8iSn58fmzdv5rfffrtpQ7cUHhUPIiIiIg+ZYsWKUaxYMatiZ8yYQbt27ejZsyeVKlWiW7duFqsCtzJ27Fjatm1L586dCQ0N5fDhw6xduxYPDw/g+irB4MGDqVq1KvXr18fW1pbFixcD4OzszNq1azl79iy1atWiXbt2NGrUiGnTpt12zhEjRnDs2DHKly9PqVKlrLo2ufcMeXl5eUWdhIiIiEhRy8zMJD09HX9/f4xGY1GnI1JoCvLe18qDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiIhYRcWDiIiIiMh94OfnR3x8/G1jDAYDK1asKJR87gUVDyIiIiIPuJiYGAwGAwaDAQcHBwIDAxkxYgTXrl27r/MWxgffNWvWUKNGDZycnChXrhw9e/a0uu/Jkyfp27cvgYGBGI1GypQpQ3h4ODNmzODKlSv3MeuHl11RJyAiIiIidy86Opq5c+eSlZXF6tWr6dWrF/b29gwePPim2OzsbBwcHIogy1vLycnB3t7+pvbMzEzatGlD+/btWbp0KZcuXeKHH36wasyjR48SHh6Ou7s7o0ePJiQkBEdHR/bt28dHH31EuXLleOaZZ+71pTz0tPIgIiIi8hBwdHTE09MTX19fevToQWRkJCtXrgSur0y0atWKUaNGUbZsWSpWrAjAvn37eOqpp3BycqJkyZJ0796dS5cuWYybkJBAlSpVcHR0xMvLi969ewPXH8kBaN26NQaDwfwaYMaMGZQvXx4HBwcqVqzIggULLMY0GAzMmDGDZ555BhcXF0aNGpXvddna2tKpUycCAwOpXr063bt3t+p+9OzZEzs7O3bs2MGzzz5LcHAwAQEBtGzZkq+++ooWLVqYY99//31CQkJwcXHB29ubnj17WtyHxMRE3N3dWbVqFRUrVsTZ2Zl27dpx5coV5s2bh5+fHx4eHvTp04fc3FyLPC5evMjzzz+Pi4sL5cqVY/r06bfN+7///S/PPvss7u7ulChRgpYtW3Ls2DGrrrkwqHgQERERyUdeXh5Xsq8V+pGXl3fXuTs5OZGdnW1+vWHDBtLS0khKSmLVqlVcvnyZqKgoPDw82L59O0uXLmX9+vXm4gCuFwG9evWie/fu7Nu3j5UrVxIYGAjA9u3bAZg7dy4ZGRnm18uXL6dv377079+f/fv388orr/DSSy+xceNGi/zi4uJo3bo1+/btIzY29pbXYDQaiYqKYtCgQZw9e9bqaz9z5gzr1q2jV69euLi43DLGYDCY/21jY8PUqVP56aefmDdvHt988w2DBg2yiL9y5QpTp05l8eLFrFmzhuTkZFq3bs3q1atZvXo1CxYsYNasWXz22WcW/SZMmEC1atXYvXs3b731Fn379iUpKemWOeXk5BAVFYWbmxvffvstKSkpuLq6Eh0dbfF/WZT02JKIiIhIPq7m5FJ52NpCn/fAiCicHe7sY1peXh4bNmxg7dq1vPbaa+Z2FxcXPv74Y/PjSrNnzyYzM5P58+ebP2BPmzaNFi1aMG7cOMqUKcN7771H//796du3r3mcWrVqAVCqVCkA3N3d8fT0NJ+fOHEiMTEx5r0J/fr14/vvv2fixIk0bNjQHNexY0deeuml217L8OHD2b17N8899xwNGjRg7dq1lC1bFoDXXnuN9PR0Vq1adVO/w4cPk5eXZ15hueGRRx4hMzMTgF69ejFu3DgAXn/9dXOMn58f7733Hq+++ioffvihuT0nJ8e8ogLQrl07FixYwKlTp3B1daVy5co0bNiQjRs30qFDB3O/8PBw3nrrLQAqVKhASkoKkydPpnHjxjflvWTJEkwmEx9//LG5uJk7dy7u7u4kJyfTpEmT296vwqDiQUREROQhsGrVKlxdXcnJycFkMtGxY0fi4uLM50NCQiz2OaSmplKtWjWLv8yHh4djMplIS0vDYDBw4sQJGjVqVKA8UlNTb3q0KDw8nClTpli0hYWF3Xacc+fOMWbMGJYtW8bTTz+Nra0t4eHhrFu3jqCgIPbt20fTpk0LlNsPP/yAyWSiU6dOZGVlmdvXr1/PmDFjOHjwIH/++SfXrl0jMzOTK1eu4OzsDICzs7O5cAAoU6YMfn5+uLq6WrSdPn3aYs46derc9Dq/b2Dau3cvhw8fxs3NzaI9MzOTI0eOFOha7xcVDyIiIiL5cLK35cCIqCKZt6AaNmzIjBkzcHBwoGzZstjZWX7My+/xnXxzcHIqcA4F8U/5pKWlkZWVRY0aNQAYMWIEf/75J/Xq1SM+Pp7vv/+ehQsX3rJvYGAgBoOBtLQ0i/aAgADA8tqOHTtG8+bN6dGjB6NGjaJEiRJs2bKFrl27kp2dbS4e/r6h22Aw3LLNZDJZcfW3dunSJWrWrHnL67qx0lPUtOdBREREJB8GgwFnB7tCP/76PL61XFxcCAwMxMfH56bC4VaCg4PZu3cvly9fNrelpKRgY2NDxYoVcXNzw8/Pjw0bNuQ7hr29/U0bhIODg0lJSbFoS0lJoXLlygW6nnLlygGwefNmc9vkyZNp3rw5HTt25JVXXjHH/F3JkiVp3Lgx06ZNs7i+W9m5cycmk4lJkybxxBNPUKFCBU6cOFGgXG/n+++/v+l1cHDwLWNDQ0M5dOgQpUuXJjAw0OIoXrz4Pcvpbqh4EBEREfkX6tSpE0ajkS5durB//342btzIa6+9RufOnSlTpgxwfVPzpEmTmDp1KocOHWLXrl188MEH5jFuFBcnT57k3LlzAAwcOJDExERmzJjBoUOHeP/991m2bBkDBgwoUH7e3t4899xz9OrVi/nz53PkyBE2bNjAkSNHcHFxYeXKlTc9IvRXH374IdeuXSMsLIwlS5aQmppKWloan3zyCQcPHsTW9vrqTmBgIDk5OXzwwQccPXqUBQsWMHPmzILeznylpKQwfvx4fv75Z6ZPn87SpUst9pD8VadOnXjkkUdo2bIl3377Lenp6SQnJ9OnTx9+/fXXe5bT3VDxICIiIvIv5OzszNq1azl79iy1atWiXbt2NGrUiGnTppljunTpQnx8PB9++CFVqlShefPmHDp0yHx+0qRJJCUl4e3tbX68qFWrVkyZMoWJEydSpUoVZs2axdy5c4mIiChwjvPmzaNfv36MGjWKKlWq8Morr9CgQQN++eUXihcvzjPPPMPVq1dv2bd8+fLs3r2byMhIBg8eTLVq1QgLC+ODDz5gwIABjBw5EoBq1arx/vvvM27cOB577DEWLlzImDFjCpxrfvr378+OHTuoUaMG7733Hu+//z5RUbd+FM7Z2ZnNmzfj4+NDmzZtCA4OpmvXrmRmZlKsWLF7ltPdMOTdi+8CExEREXnAZWZmkp6ejr+/P0ajsajTESk0BXnva+VBRERERESsouJBRERERESsouJBRERERESsouJBRERERESsouJBRERERESsouJBRERERESsouJBRERERESsouJBRERERESsouJBRERERESsouJBRERERB44x44dw2AwsGfPnnxjkpOTMRgMnD9/HoDExETc3d0LJb+HlYoHERERkQdcTEwMBoPhpiM6OrqoUzOLi4vLN6cJEyZgMBiIiIi4p3PWrVuXjIwMihcvfk/H/TezK+oEREREROTuRUdHM3fuXIs2R0fHIsrm1ry8vNi4cSO//vorjz76qLk9ISEBHx+fez6fg4MDnp6e93zcfzOtPIiIiIg8BBwdHfH09LQ4PDw8SE5OxsHBgW+//dYcO378eEqXLs2pU6f4/fff8fT0ZPTo0ebz3333HQ4ODmzYsAGAc+fO8eKLL+Lh4YGzszNNmzbl0KFD5vgbjwOtXbuW4OBgXF1diY6OJiMjwyLH0qVL06RJE+bNm2cx1x9//EGzZs0sYk0mEyNGjODRRx/F0dGR6tWrs2bNmpuu++DBg9StWxej0chjjz3Gpk2bzOf+/tiS3D0VDyIiIiL5ycuD7MuFf+Tl3bNLiIiI4PXXX6dz585cuHCB3bt3M3ToUD7++GPKlClDqVKlSEhIIC4ujh07dnDx4kU6d+5M7969adSoEXD9sagdO3awcuVKtm7dSl5eHk8//TQ5OTnmea5cucLEiRNZsGABmzdv5vjx4wwYMOCmfGJjY0lMTDS/TkhIoFOnTjg4OFjETZkyhUmTJjFx4kR+/PFHoqKieOaZZyyKFoCBAwfSv39/du/eTZ06dWjRogVnzpy5Z/dPLOmxJREREZH85FyB0WULf94hJ8DBpUBdVq1ahaurq+UwQ4YwZMgQ3nvvPZKSkujevTv79++nS5cuPPPMM+a4p59+mm7dutGpUyfCwsJwcXFhzJgxABw6dIiVK1eSkpJC3bp1AVi4cCHe3t6sWLGC9u3bA5CTk8PMmTMpX748AL1792bEiBE35dm8eXNeffVVNm/eTM2aNfn000/ZsmULCQkJFnETJ07kzTff5LnnngNg3LhxbNy4kfj4eKZPn26O6927N23btgVgxowZrFmzhjlz5jBo0KAC3T+xjooHERERkYdAw4YNmTFjhkVbiRIlgOvP/i9cuJCqVavi6+vL5MmTb+o/ceJEHnvsMZYuXcrOnTvN+yVSU1Oxs7Ojdu3a5tiSJUtSsWJFUlNTzW3Ozs7mwgGu7284ffr0TfPY29vzwgsvMHfuXI4ePUqFChWoWrWqRcyff/7JiRMnCA8Pt2gPDw9n7969Fm116tQx/9vOzo6wsDCLvOTeUvEgIiIikh975+urAEUxbwG5uLgQGBiY7/nvvvsOgLNnz3L27FlcXCxXNo4cOcKJEycwmUwcO3aMkJCQgqVsb2/x2mAwkJfP41exsbHUrl2b/fv3ExsbW6B5pGhpz4OIiIhIfgyG648PFfZhMNzTyzhy5AhvvPEGs2fPpnbt2nTp0gWTyWQ+n52dzQsvvECHDh0YOXIkL7/8snnVIDg4mGvXrrFt2zZz/JkzZ0hLS6Ny5cp3lE+VKlWoUqUK+/fvp2PHjjedL1asGGXLliUlJcWiPSUl5aY5v//+e/O/r127xs6dOwkODr6jvOSfaeVBRERE5CGQlZXFyZMnLdrs7Ozw8PDghRdeICoqipdeeono6GhCQkKYNGkSAwcOBODtt9/mwoULTJ06FVdXV1avXk1sbCyrVq0iKCiIli1b0q1bN2bNmoWbmxtvvfUW5cqVo2XLlnec7zfffENOTk6+P9o2cOBA3n33XcqXL0/16tWZO3cue/bsYeHChRZx06dPJygoiODgYCZPnsy5c+e0mnEfqXgQEREReQisWbMGLy8vi7aKFSvSsWNHfvnlF1atWgVc34vw0Ucf8fzzz9OkSRPOnTtHfHw8GzdupFixYgAsWLCAatWqMWPGDHr06MHcuXPp27cvzZs3Jzs7m/r167N69eqbHlUqiL8/NvV3ffr04cKFC/Tv35/Tp09TuXJlVq5cSVBQkEXc2LFjGTt2LHv27CEwMJCVK1fyyCOP3HFecnuGvPweRhMRERH5F8nMzCQ9PR1/f3+MRmNRpyNSaAry3teeBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERERsYqKBxERERGROxAREcHrr7/+QMydnJyMwWDg/PnzdzWvigcRERGRB1xMTAwGgwGDwYC9vT1lypShcePGJCQkYDKZCj2XVq1aFeqcBZWYmIi7u3tRp3ETg8HAihUrrIpdtmwZI0eOvL8J3YKKBxEREZGHQHR0NBkZGRw7doyvv/6ahg0b0rdvX5o3b861a9eKOj25R7KzswEoUaIEbm5uhT6/igcRERGRh4CjoyOenp6UK1eO0NBQhgwZwhdffMHXX39NYmKiOe748eO0bNkSV1dXihUrxrPPPsupU6cAuHDhAra2tuzYsQMAk8lEiRIleOKJJ8z9P/nkE7y9va3OKysriz59+lC6dGmMRiP16tVj+/bt5vM3HqfZsGEDYWFhODs7U7duXdLS0izG+eKLLwgNDcVoNBIQEMDw4cPNRVFeXh5xcXH4+Pjg6OhI2bJl6dOnj9U5xsXFUb16dRYsWICfnx/Fixfnueee4+LFi+aYy5cv8+KLL+Lq6oqXlxeTJk26aZxbrRy4u7ub7392dja9e/fGy8sLo9GIr68vY8aMAcDPzw+A1q1bYzAYzK9v5Pbxxx/j7++P0WgEbn5sacGCBYSFheHm5oanpycdO3bk9OnTVt8Da6l4EBEREclHXl4eV3KuFPqRl5d3T/J/6qmnqFatGsuWLQOuFwMtW7bk7NmzbNq0iaSkJI4ePUqHDh0AKF68ONWrVyc5ORmAffv2YTAY2L17N5cuXQJg06ZNNGjQwOocBg0axOeff868efPYtWsXgYGBREVFcfbsWYu4t99+m0mTJrFjxw7s7OyIjY01n/v222958cUX6du3LwcOHGDWrFkkJiYyatQoAD7//HMmT57MrFmzOHToECtWrCAkJKRA9+rIkSOsWLGCVatWsWrVKjZt2sTYsWPN5wcOHMimTZv44osvWLduHcnJyezatatAc0ydOpWVK1fy6aefkpaWxsKFC81Fwo2Cau7cuWRkZFgUWIcPH+bzzz9n2bJl7Nmz55Zj5+TkMHLkSPbu3cuKFSs4duwYMTExBcrPGnb3fEQRERGRh8TVa1epvah2oc+7reM2nO2d78lYlSpV4scffwRgw4YN7Nu3j/T0dPPqwfz586lSpQrbt2+nVq1aREREkJyczIABA0hOTqZx48YcPHiQLVu2EB0dTXJyMoMGDbJq7suXLzNjxgwSExNp2rQpALNnzyYpKYk5c+YwcOBAc+yoUaPMRclbb71Fs2bNyMzMxGg0Mnz4cN566y26dOkCQEBAACNHjmTQoEG8++67HD9+HE9PTyIjI7G3t8fHx4fHH3+8QPfJZDKRmJhofhSoc+fObNiwgVGjRnHp0iXmzJnDJ598QqNGjQCYN28ejz76aIHmOH78OEFBQdSrVw+DwYCvr6/5XKlSpYDrKxWenp4W/bKzs5k/f7455lb+WmwFBAQwdepUatWqxaVLl3B1dS1QnrejlQcRERGRh1heXh4GgwGA1NRUvL29LR47qly5Mu7u7qSmpgLQoEEDtmzZQm5uLps2bSIiIsJcUJw4cYLDhw8TERFh1dxHjhwhJyeH8PBwc5u9vT2PP/64eb4bqlatav63l5cXgPmxm7179zJixAhcXV3NR7du3cjIyODKlSu0b9+eq1evEhAQQLdu3Vi+fHmB93n4+flZ7CHw8vIyz3/kyBGys7OpXfv/CskSJUpQsWLFAs0RExPDnj17qFixIn369GHdunVW9fP19b1t4QCwc+dOWrRogY+PD25ubuZC7Pjx4wXK8Z9o5UFEREQkH052TmzruK1I5r1XUlNT8ff3tzq+fv36XLx4kV27drF582ZGjx6Np6cnY8eOpVq1apQtW5agoKB7lt8N9vb25n/fKHZufFPUpUuXGD58OG3atLmpn9FoxNvbm7S0NNavX09SUhI9e/ZkwoQJbNq0yWJca+e/kUNBv6nKYDDc9MhZTk6O+d+hoaGkp6fz9ddfs379ep599lkiIyP57LPPbjuui4vLbc9fvnyZqKgooqKiWLhwIaVKleL48eNERUWZN1jfKyoeRERERPJhMBju2eNDReGbb75h3759vPHGGwAEBwfz3//+l//+97/m1YcDBw5w/vx5KleuDFx/bKZq1apMmzYNe3t7KlWqROnSpenQoQOrVq0q0H6H8uXL4+DgQEpKivkRnZycHLZv316g3ygIDQ0lLS2NwMDAfGOcnJxo0aIFLVq0oFevXlSqVIl9+/YRGhpq9Tz5KV++PPb29mzbtg0fHx8Azp07x88//2xxP0qVKkVGRob59aFDh7hy5YrFWMWKFaNDhw506NCBdu3aER0dzdmzZylRogT29vbk5uYWOL+DBw9y5swZxo4da/5/vbHp/V5T8SAiIiLyEMjKyuLkyZPk5uZy6tQp1qxZw5gxY2jevDkvvvgiAJGRkYSEhNCpUyfi4+O5du0aPXv2pEGDBoSFhZnHioiI4IMPPqBdu3bA9Ud0goODWbJkCdOnT7c6JxcXF3r06MHAgQMpUaIEPj4+jB8/nitXrtC1a1erxxk2bBjNmzfHx8eHdu3aYWNjw969e9m/fz/vvfceiYmJ5ObmUrt2bZydnfnkk09wcnKy2FNwN1xdXenatSsDBw6kZMmSlC5dmrfffhsbG8sdAE899RTTpk2jTp065Obm8uabb1qsaLz//vt4eXlRo0YNbGxsWLp0KZ6enubfnPDz82PDhg2Eh4fj6OiIh4eHVfn5+Pjg4ODABx98wKuvvsr+/fvv229AaM+DiIiIyENgzZo1eHl54efnR3R0NBs3bmTq1Kl88cUX2NraAtdXUr744gs8PDyoX78+kZGRBAQEsGTJEouxGjRoQG5ursXehoiIiJvabsVkMmFn939/nx47dixt27alc+fOhIaGcvjwYdauXWv1B2OAqKgoVq1axbp166hVqxZPPPEEkydPNhcH7u7uzJ49m/DwcKpWrcr69ev58ssvKVmypNVz/JMJEybw5JNP0qJFCyIjI6lXrx41a9a0iJk0aRLe3t48+eSTdOzYkQEDBuDs/H8rV25ubowfP56wsDBq1arFsWPHWL16tbkImTRpEklJSXh7e1OjRg2rcytVqhSJiYksXbqUypUrM3bsWCZOnHhvLvxvDHn36rvARERERB5gmZmZpKenW3yXvhRcdHQ0gYGBTJs2rahTESsV5L2vlQcRERERuWvnzp1j1apVJCcnExkZWdTpyH2iPQ8iIiIictdiY2PZvn07/fv3p2XLlkWdjtwnKh5ERERE5K4tX768qFOQQqDHlkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkRERERExCoqHkREREQecL///js9evTAx8cHR0dHPD09iYqKIiUlxSLuk08+oVKlShiNRvz8/Bg5cuRNYx07dgyDwWA+SpYsSZMmTdi9e3e+8ycnJ1v0uXGcPHnSIm769On4+flhNBqpXbs2P/zwg8X5zMxMevXqRcmSJXF1daVt27acOnXqLu6M3GsqHkREREQecG3btmX37t3MmzePn3/+mZUrVxIREcGZM2fMMceOHePFF1+kVatWpKam8umnn+Lv75/vmOvXrycjI4O1a9dy6dIlmjZtyvnz52+bR1paGhkZGeajdOnS5nNLliyhX79+vPvuu+zatYtq1aoRFRXF6dOnzTFvvPEGX375JUuXLmXTpk2cOHGCNm3a3PmNkXvOkJeXl1fUSYiIiIgUtczMTNLT0/H398doNBZ1OlY7f/48Hh4eJCcn06BBg3zjfvnlFwICAkhNTaVChQr5xh07dgx/f392795N9erVAfjuu+8IDw9nzZo1REVF3dQnOTmZhg0bcu7cOdzd3W85bu3atalVqxbTpk0DwGQy4e3tzWuvvcZbb73FhQsXKFWqFIsWLaJdu3YAHDx4kODgYLZu3coTTzxh5R2RgirIe18rDyIiIiL5yMvLw3TlSqEfBfnbrqurK66urqxYsYKsrKx848qVK0dYWBi9e/cmMzOzQPfByckJgOzs7NvGVa9eHS8vLxo3bmzxyFR2djY7d+4kMjLS3GZjY0NkZCRbt24FYOfOneTk5FjEVKpUCR8fH3OMFD27ok5ARERE5H9V3tWrpIXWLPR5K+7aicHZ2apYOzs7EhMT6datGzNnziQ0NJQGDRrw3HPPUbVqVXNct27dyMvLIyAggKZNm/LFF19QrFgxAFq0aIGvr695VeCvzp8/z8iRI3F1deXxxx+/ZQ5eXl7MnDmTsLAwsrKy+Pjjj4mIiGDbtm2Ehobyxx9/kJubS5kyZSz6lSlThoMHDwJw8uRJHBwcblq5KFOmzE17J6ToaOVBRERE5AHXtm1bTpw4wcqVK4mOjiY5OZnQ0FASExMBOHDgAImJiSQmJjJjxgx8fHyIiIgw7zfYv38/Tz75pMWYdevWxdXVFQ8PD/bu3cuSJUtu+vB/Q8WKFXnllVeoWbMmdevWJSEhgbp16zJ58uT7et1S+LTyICIiIpIPg5MTFXftLJJ5C8poNNK4cWMaN27M0KFDefnll3n33XeJiYnhxx9/xNHRkcqVKwOQkJBAhw4dCA8PZ9CgQVy8eJFnnnnGYrwlS5ZQuXJlSpYsme8+htt5/PHH2bJlCwCPPPIItra2N31z0qlTp/D09ATA09OT7Oxszp8/bzHfX2Ok6GnlQURERCQfBoMBG2fnQj8MBsNd5165cmUuX74MXN/vkJWVxbZt2wCwtbVl0aJFlC9fnu7du/P222+b9zXc4O3tTfny5e+ocADYs2cPXl5eADg4OFCzZk02bNhgPm8ymdiwYQN16tQBoGbNmtjb21vEpKWlcfz4cXOMFD2tPIiIiIg8wM6cOUP79u2JjY2latWquLm5sWPHDsaPH0/Lli0BqFevHnXr1qVDhw7Ex8cTEhLCTz/9xIkTJ3BxcWHRokW88sorOFu5z+Lv4uPj8ff3p0qVKmRmZvLxxx/zzTffsG7dOnNMv3796NKlC2FhYTz++OPEx8dz+fJlXnrpJQCKFy9O165d6devHyVKlKBYsWK89tpr1KlTR9+09D9ExYOIiIjIA8zV1ZXatWszefJkjhw5Qk5ODt7e3nTr1o0hQ4YA11dQ1qxZw/Dhw+nXrx+//fYbgYGBdO/enfbt21O7dm06derE559/fkc5ZGdn079/f3777TecnZ2pWrUq69evp2HDhuaYDh068PvvvzNs2DBOnjxJ9erVWbNmjcU+ismTJ2NjY0Pbtm3JysoiKiqKDz/88O5ukNxT+p0HERERER7c33kQuVv6nQcREREREbnnVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIiIhVVDyIiIiIyB2JiYmhVatWRZ2GFCIVDyIiIiIPuJiYGAwGA2PHjrVoX7FiBQaDoYiykoeRigcRERGRh4DRaGTcuHGcO3euqFORh5iKBxEREZGHQGRkJJ6enowZM+aW58+cOcPzzz9PuXLlcHZ2JiQkhP/85z8WMZ999hkhISE4OTlRsmRJIiMjuXz5MgC5ubn069cPd3d3SpYsyaBBg8jLy7Pov2bNGurVq2eOad68OUeOHLGI+eGHH6hRowZGo5GwsDCWL1+OwWBgz5499+5myH2j4kFEREQkH3l5eeRk5Rb68fcP5dawtbVl9OjRfPDBB/z66683nc/MzKRmzZp89dVX7N+/n+7du9O5c2d++OEHADIyMnj++eeJjY0lNTWV5ORk2rRpY85l0qRJJCYmkpCQwJYtWzh79izLly+3mOPy5cv069ePHTt2sGHDBmxsbGjdujUmkwmAS5cu0bx5cypXrszOnTuJi4tjwIABBb5WKTp2RZ2AiIiIyP+qa9kmPuq7qdDn7T6lAfaOtgXu17p1a6pXr867777LnDlzLM6VK1fO4oP6a6+9xtq1a/n00095/PHHycjI4Nq1a7Rp0wZfX18AQkJCzPHx8fEMHjyYNm3aADBz5kzWrl1rMUfbtm0tXickJFCqVCkOHDjAY489xqJFizCZTMyZMwej0UiVKlX49ddf6dGjR4GvVYqGVh5EREREHiLjxo1j3rx5pKamWrTn5uYycuRIQkJCKFGiBK6urqxdu5bjx48DUK1aNRo1akRISAjt27dn9uzZ5v0TFy5cICMjg9q1a5vHs7OzIywszGKOQ4cO8fzzzxMQEECxYsXw8/MDMM+RmppK1apVMRqN5j516tS55/dA7h+tPIiIiIjkw87Bhu5TGhTJvHeqfv36REVFMXjwYGJiYsztEyZMYMqUKcTHxxMSEoKLiwuvv/462dnZwPXHnpKSkvjuu+9Yt24dH3zwAW+//Tbbtm2jRIkSVs3dokULfH19mT17NmXLlsVkMvHYY4+Z55AHn1YeRERERPJhMBiwd7Qt9ONuv1517NixfPnll2zdutXclpKSQsuWLXnhhReoVq0aAQEB/Pzzzzddb3h4OMOHD2f37t04ODiwfPlyihcvjpeXF9u2bTPHXrt2jZ07d5pfnzlzhrS0NN555x0aNWpEcHDwTd/8FBwczI8//khmZqa57fvvv7+ra5XCpeJBRERE5CETEhJCp06dmDp1qrktKCjIvLKQmprKK6+8wqlTp8znt23bxujRo9mxYwfHjx9n2bJl/P777wQHBwPQt29fxo4dy4oVKzh48CA9e/bk/Pnz5v4eHh6ULFmSjz76iMOHD/PNN9/Qr18/i7w6duyIwWCgW7duHDhwgNWrVzNx4sT7ezPknlLxICIiIvIQGjFihPlbjgDeeecdQkNDiYqKIiIiAk9PT4tfhy5WrBibN2/m6aefpkKFCrzzzjtMmjSJpk2bAtC/f386d+5Mly5dqFOnDm5ubrRu3drc38bGhsWLF7Nz504ee+wx3njjDSZMmGCRk6urK19++SX79u2jRo0avP3224wbN+7+3gi5pwx5d/JdYCIiIiIPmczMTNLT0/H397fY0Cv317Fjx/D392f37t1Ur169qNP5VyrIe18rDyIiIiIiYhUVDyIiIiIiYhV9VauIiIiIFBk/P787+kVtKRpaeRAREREREauoeBAREREREauoeBAREREREauoeBAREREREauoeBAREREREauoeBAREREREauoeBARERGR+yo5ORmDwcD58+cBSExMxN3dvUhzkjuj4kFERETkARcTE4PBYMBgMGBvb4+/vz+DBg0iMzOzqFO7I8eOHaNr1674+/vj5ORE+fLleffdd8nOzraI+/HHH3nyyScxGo14e3szfvz4m8ZaunQplSpVwmg0EhISwurVqy3O5+XlMWzYMLy8vHByciIyMpJDhw7d1+t7kKl4EBEREXkIREdHk5GRwdGjR5k8eTKzZs3i3XffLeq07sjBgwcxmUzMmjWLn376icmTJzNz5kyGDBlijvnzzz9p0qQJvr6+7Ny5kwkTJhAXF8dHH31kjvnuu+94/vnn6dq1K7t376ZVq1a0atWK/fv3m2PGjx/P1KlTmTlzJtu2bcPFxYWoqKgHtvC631Q8iIiIiDwEHB0d8fT0xNvbm1atWhEZGUlSUpL5vJ+fH/Hx8RZ9qlevTlxcHHD9L/BxcXH4+Pjg6OhI2bJl6dOnjzn2ww8/JCgoCKPRSJkyZWjXrp35nMlkYsyYMeaVgmrVqvHZZ5/d8bVER0czd+5cmjRpQkBAAM888wwDBgxg2bJl5piFCxeSnZ1NQkICVapU4bnnnqNPnz68//775pgpU6YQHR3NwIEDCQ4OZuTIkYSGhjJt2jTzNcfHx/POO+/QsmVLqlatyvz58zlx4gQrVqy44/wfZnZFnYCIiIjI/6q8vDyuZWUV+rx2jo4YDIY77r9//36+++47fH19re7z+eefM3nyZBYvXkyVKlU4efIke/fuBWDHjh306dOHBQsWULduXc6ePcu3335r7jtmzBg++eQTZs6cSVBQEJs3b+aFF16gVKlSNGjQ4I6v468uXLhAiRIlzK+3bt1K/fr1cXBwMLdFRUUxbtw4zp07h4eHB1u3bqVfv34W40RFRZkLg/T0dE6ePElkZKT5fPHixalduzZbt27lueeeuye5P0xUPIiIiIjk41pWFlO7tPvnwHusz7zPsDcaC9Rn1apVuLq6cu3aNbKysrCxsTH/hd0ax48fx9PTk8jISOzt7fHx8eHxxx83n3NxcaF58+a4ubnh6+tLjRo1AMjKymL06NGsX7+eOnXqABAQEMCWLVuYNWvWPSkeDh8+zAcffMDEiRPNbSdPnsTf398irkyZMuZzHh4enDx50tz215iTJ0+a4/7a71YxYkmPLYmIiIg8BBo2bMiePXvYtm0bXbp04aWXXqJt27ZW92/fvj1Xr14lICCAbt26sXz5cq5duwZA48aN8fX1JSAggM6dO7Nw4UKuXLkCXP9gf+XKFRo3boyrq6v5mD9/PkeOHLnr6/rtt9+Ijo6mffv2dOvW7a7Hk7ujlQcRERGRfNg5OtJn3p0/u3838xaUi4sLgYGBACQkJFCtWjXmzJlD165dAbCxsSEvL8+iT05Ojvnf3t7epKWlsX79epKSkujZsycTJkxg06ZNuLm5sWvXLpKTk1m3bh3Dhg0jLi6O7du3c+nSJQC++uorypUrZzG+4x1cx1+dOHGChg0bUrduXYuN0ACenp6cOnXKou3Ga09Pz9vG/PX8jTYvLy+LmOrVq99V7g8rrTyIiIiI5MNgMGBvNBb6cTf7HeB6oTBkyBDeeecdrl69CkCpUqXIyMgwx/z555+kp6db9HNycqJFixZMnTqV5ORktm7dyr59+wCws7MjMjKS8ePH8+OPP3Ls2DG++eYbKleujKOjI8ePHycwMNDi8Pb2vuNr+O2334iIiKBmzZrMnTsXGxvLj6116tRh8+bNFgVQUlISFStWxMPDwxyzYcMGi35JSUnmx6v8/f3x9PS0iPnzzz/Ztm2bOUYsaeVBRERE5CHUvn17Bg4cyPTp0xkwYABPPfUUiYmJtGjRAnd3d4YNG4atra05PjExkdzcXGrXro2zszOffPIJTk5O+Pr6smrVKo4ePUr9+vXx8PBg9erVmEwmKlasiJubGwMGDOCNN97AZDJRr149Lly4QEpKCsWKFaNLly4Fzv1G4eDr68vEiRP5/fffzedurBZ07NiR4cOH07VrV958803279/PlClTmDx5sjm2b9++NGjQgEmTJtGsWTMWL17Mjh07zKsYBoOB119/nffee4+goCD8/f0ZOnQoZcuWpVWrVnd45x9uKh5EREREHkJ2dnb07t2b8ePH06NHDwYPHkx6ejrNmzenePHijBw50mLlwd3dnbFjx9KvXz9yc3MJCQnhyy+/pGTJkri7u7Ns2TLi4uLIzMwkKCiI//znP1SpUgWAkSNHUqpUKcaMGcPRo0dxd3cnNDTU4ncZCiIpKYnDhw9z+PBhHn30UYtzNx69Kl68OOvWraNXr17UrFmTRx55hGHDhtG9e3dzbN26dVm0aBHvvPMOQ4YMISgoiBUrVvDYY4+ZYwYNGsTly5fp3r0758+fp169eqxZswZjATes/1sY8v7+8JuIiIjIv1BmZibp6en4+/vrg6P8qxTkva89DyIiIiIiYhUVDyIiIiIiYhUVDyIiIiIiYhUVDyIiIiIiYhUVDyIiIiJ/oe+SkX+bgrznVTyIiIiIAPb29gBcuXKliDMRKVzZ2dkAFr/7kR/9zoOIiIgI1z84ubu7c/r0aQCcnZ3v+peeRf7XmUwmfv/9d5ydnbGz++fSQMWDiIiIyP9349eLbxQQIv8GNjY2+Pj4WFUs60fiRERERP4mNzeXnJycok5DpFA4ODhgY2PdbgYVDyIiIiIiYhVtmBYREREREauoeBAREREREauoeBAREREREauoeBAREREREauoeBAREREREauoeBAREREREauoeBAREREREav8P0qYt+sNCFhAAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "fig, ax = plt.subplots(2, 1, figsize=(8, 4), sharex=True)\n",
        "\n",
        "ax[0].semilogx(\n",
        "    [m.get_value(\"lambd\") for m in results],\n",
        "    [100 * (np.exp(252 * m.get_value(\"ElogR\")) - 1) for m in results],\n",
        ")\n",
        "ax[0].set_title(\"Portfolio Return vs Risk Aversion\")\n",
        "ax[0].set_ylabel(\"annual %\")\n",
        "ax[0].grid(True)\n",
        "\n",
        "ax[1].semilogx(\n",
        "    [m.get_value(\"lambd\") for m in results],\n",
        "    [\n",
        "        [w[str(n)] for n in R.columns]\n",
        "        for m in results\n",
        "        for w in [m.get_variable(\"w\").to_dict()]\n",
        "    ],\n",
        ")\n",
        "ax[1].set_ylabel(\"weights\")\n",
        "ax[1].set_xlabel(\"risk aversion $\\lambda$\")\n",
        "ax[1].legend([symbols[n] for n in R.columns], bbox_to_anchor=(1.05, 1.05))\n",
        "ax[1].grid(True)\n",
        "ax[1].set_ylim(0, EM)\n",
        "\n",
        "fig.tight_layout()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AjkzOifugxjS"
      },
      "source": [
        "### Effects of the Equity Multiplier Parameter"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SUk4lWPUgxjS",
        "outputId": "9ce3edc4-7150-4d68-e0dc-d7ff6ab8bc33"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0001732027883\n",
            "0 simplex iterations\n",
            "11 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.000239066576\n",
            "0 simplex iterations\n",
            "12 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0003041982755\n",
            "0 simplex iterations\n",
            "12 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0003686092995\n",
            "0 simplex iterations\n",
            "12 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0004322931973\n",
            "0 simplex iterations\n",
            "14 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0004952508982\n",
            "0 simplex iterations\n",
            "14 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0005574813011\n",
            "0 simplex iterations\n",
            "14 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.000618989247\n",
            "0 simplex iterations\n",
            "15 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0006797698871\n",
            "0 simplex iterations\n",
            "15 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0007398243108\n",
            "0 simplex iterations\n",
            "18 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0007991521321\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0008577548616\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0009156308846\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.0009727827525\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001029206061\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001068590686\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00109662602\n",
            "0 simplex iterations\n",
            "26 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001114149454\n",
            "0 simplex iterations\n",
            "25 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115058531\n",
            "0 simplex iterations\n",
            "30 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              3E-06           3E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115061865\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060787\n",
            "0 simplex iterations\n",
            "35 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              3E-06           3E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115058815\n",
            "0 simplex iterations\n",
            "35 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115063664\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059963\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060287\n",
            "0 simplex iterations\n",
            "34 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115064309\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060034\n",
            "0 simplex iterations\n",
            "19 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115061039\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059523\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115065681\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059088\n",
            "0 simplex iterations\n",
            "30 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              4E-06           4E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115064196\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060093\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115064296\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115062649\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060345\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115058752\n",
            "0 simplex iterations\n",
            "38 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              4E-06           4E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059807\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115065009\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115065225\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115061304\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115065279\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059316\n",
            "0 simplex iterations\n",
            "42 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059421\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059066\n",
            "0 simplex iterations\n",
            "42 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              4E-06           4E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115058823\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115061931\n",
            "0 simplex iterations\n",
            "19 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060531\n",
            "0 simplex iterations\n",
            "19 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115058979\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115059652\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n"
          ]
        }
      ],
      "source": [
        "EM = np.linspace(0.0 + 1e-1, 2.0)\n",
        "\n",
        "results = [kelly_portfolio(R, Rf=1, EM=_, lambd=10) for _ in EM]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 486
        },
        "id": "-P0rnupwgxjS",
        "outputId": "e55fdf6c-8ec7-4670-b37a-dbf7c17ccba7"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "fig, ax = plt.subplots(2, 1, figsize=(8, 4), sharex=True)\n",
        "\n",
        "ax[0].plot(\n",
        "    [m.get_value(\"EM\") for m in results],\n",
        "    [100 * (np.exp(252 * m.get_value(\"ElogR\")) - 1) for m in results],\n",
        ")\n",
        "ax[0].set_title(\"Portfolio Return vs Equity Multiplier\")\n",
        "ax[0].set_ylabel(\"annual return %\")\n",
        "ax[0].grid(True)\n",
        "\n",
        "ax[1].plot(\n",
        "    [m.get_value(\"EM\") for m in results],\n",
        "    [\n",
        "        [w[str(n)] for n in R.columns]\n",
        "        for m in results\n",
        "        for w in [m.get_variable(\"w\").to_dict()]\n",
        "    ],\n",
        ")\n",
        "ax[1].set_ylabel(\"weights\")\n",
        "ax[1].set_xlabel(\"Equity Multiplier\")\n",
        "ax[1].legend([symbols[n] for n in R.columns], bbox_to_anchor=(1.05, 1.05))\n",
        "ax[1].grid(True)\n",
        "ax[1].set_ylim(\n",
        "    0,\n",
        ")\n",
        "\n",
        "fig.tight_layout()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JLheUJnWgxjT"
      },
      "source": [
        "### Effect of Risk-free Interest Rate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t3j7tg9agxjT",
        "outputId": "69527404-a3df-4238-cd31-f1760d0e2b93"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001115060801\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001109228211\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001103650865\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001098313599\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001093234382\n",
            "0 simplex iterations\n",
            "25 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001088400666\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00108380326\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001079451663\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001075343846\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00107146447\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001067825938\n",
            "0 simplex iterations\n",
            "19 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001064422018\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001061243774\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001058294723\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001055570044\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001053079456\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              4E-06           4E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001050802581\n",
            "0 simplex iterations\n",
            "21 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001048746383\n",
            "0 simplex iterations\n",
            "19 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00104690878\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001045286967\n",
            "0 simplex iterations\n",
            "27 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001043883875\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00104268816\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001041702662\n",
            "0 simplex iterations\n",
            "30 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001040928306\n",
            "0 simplex iterations\n",
            "64 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001040365066\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001039997391\n",
            "0 simplex iterations\n",
            "47 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00103983771\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001039878034\n",
            "0 simplex iterations\n",
            "44 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001040120206\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001040556835\n",
            "0 simplex iterations\n",
            "27 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001041190809\n",
            "0 simplex iterations\n",
            "26 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001042019276\n",
            "0 simplex iterations\n",
            "25 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00104304136\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001044250378\n",
            "0 simplex iterations\n",
            "32 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001045652236\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001047238046\n",
            "0 simplex iterations\n",
            "22 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001049011788\n",
            "0 simplex iterations\n",
            "23 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001050971276\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.00105310613\n",
            "0 simplex iterations\n",
            "34 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001055426043\n",
            "0 simplex iterations\n",
            "36 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001057925134\n",
            "0 simplex iterations\n",
            "24 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001060600799\n",
            "0 simplex iterations\n",
            "62 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              1E-06           1E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001063452647\n",
            "0 simplex iterations\n",
            "30 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001066481758\n",
            "0 simplex iterations\n",
            "50 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              4E-06           4E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001069678872\n",
            "0 simplex iterations\n",
            "58 barrier iterations\n",
            " \n",
            "------------ WARNINGS ------------\n",
            "WARNING:  \"Tolerance violations\"\n",
            "  Type                         MaxAbs [Name]   MaxRel [Name]\n",
            "* expr '_expcone'              2E-06           2E-06         \n",
            "*: Using the solver's aux variable values.\n",
            "Documentation: mp.ampl.com/modeling-tools.html#automatic-solution-check.\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.001073048338\n",
            "0 simplex iterations\n",
            "55 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001076589791\n",
            "0 simplex iterations\n",
            "31 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal, stalling; objective 0.001080297284\n",
            "0 simplex iterations\n",
            "66 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001084144128\n",
            "0 simplex iterations\n",
            "18 barrier iterations\n",
            "MOSEK 11.0.8: \b\b\b\b\b\b\b\b\b\b\b\b\b\bMOSEK 11.0.8: optimal; objective 0.001088100781\n",
            "0 simplex iterations\n",
            "20 barrier iterations\n"
          ]
        }
      ],
      "source": [
        "Rf = np.exp(np.log(1 + np.linspace(0, 0.20)) / 252)\n",
        "\n",
        "results = [kelly_portfolio(R, Rf=_, EM=1, lambd=10) for _ in Rf]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "LHksd-E8gxjT",
        "outputId": "28bc5503-a2a2-4da5-ae6b-862e46c3b8ec"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 800x400 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "fig, ax = plt.subplots(2, 1, figsize=(8, 4), sharex=True)\n",
        "\n",
        "Rf = np.exp(252 * np.log(np.array([_.get_value(\"Rf\") for _ in results])))\n",
        "ax[0].plot(Rf, [100 * (np.exp(252 * m.get_value(\"ElogR\")) - 1) for m in results])\n",
        "ax[0].set_title(\"Portfolio Return vs Risk-free Rate\")\n",
        "ax[0].set_ylabel(\"annual return %\")\n",
        "ax[0].grid(True)\n",
        "\n",
        "ax[1].plot(\n",
        "    Rf,\n",
        "    [\n",
        "        [w[str(n)] for n in R.columns]\n",
        "        for m in results\n",
        "        for w in [m.get_variable(\"w\").to_dict()]\n",
        "    ],\n",
        ")\n",
        "ax[1].set_ylabel(\"weights\")\n",
        "ax[1].set_xlabel(\"Risk-free Rate\")\n",
        "ax[1].legend([symbols[n] for n in R.columns], bbox_to_anchor=(1.05, 1.05))\n",
        "ax[1].grid(True)\n",
        "ax[1].set_ylim(\n",
        "    0,\n",
        ")\n",
        "\n",
        "fig.tight_layout()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EpRZJQQCgxjT"
      },
      "source": [
        "## Extensions\n",
        "\n",
        "1. The examples cited in this notebook assume knowledge of the probability mass distribution. Recent work by Sun and Boyd (2018) and Hsieh (2022) suggest models for finding investment strategies for cases where the distributions are not perfectly known. They call them \"distributionally robust Kelly gambling.\" A useful extension to this notebook would be to demonstrate a robust solution to one or more of the examples."
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        "## Bibliographic Notes\n",
        "\n",
        "> Thorp, E. O. (2017). A man for all markets: From Las Vegas to wall street, how i beat the dealer and the market. Random House.\n",
        "\n",
        "> Thorp, E. O. (2008). The Kelly criterion in blackjack sports betting, and the stock market. In Handbook of asset and liability management (pp. 385-428). North-Holland. https://www.palmislandtraders.com/econ136/thorpe_kelly_crit.pdf\n",
        "\n",
        "> MacLean, L. C., Thorp, E. O., & Ziemba, W. T. (2010). Good and bad properties of the Kelly criterion. Risk, 20(2), 1.  https://www.stat.berkeley.edu/~aldous/157/Papers/Good_Bad_Kelly.pdf\n",
        "\n",
        "> MacLean, L. C., Thorp, E. O., & Ziemba, W. T. (2011). The Kelly capital growth investment criterion: Theory and practice (Vol. 3). world scientific. https://www.worldscientific.com/worldscibooks/10.1142/7598#t=aboutBook\n",
        "\n",
        "> Carta, A., & Conversano, C. (2020). Practical Implementation of the Kelly Criterion: Optimal Growth Rate, Number of Trades, and Rebalancing Frequency for Equity Portfolios. Frontiers in Applied Mathematics and Statistics, 6, 577050. https://www.frontiersin.org/articles/10.3389/fams.2020.577050/full\n",
        "\n",
        "The utility of conic optimization to solve problems involving log growth is more recent. Here are some representative papers.\n",
        "\n",
        "> Cajas, D. (2021). Kelly Portfolio Optimization: A Disciplined Convex Programming Framework. Available at SSRN 3833617. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3833617\n",
        "\n",
        "> Busseti, E., Ryu, E. K., & Boyd, S. (2016). Risk-constrained Kelly gambling. The Journal of Investing, 25(3), 118-134. https://arxiv.org/pdf/1603.06183.pdf\n",
        "\n",
        "> Fu, A., Narasimhan, B., & Boyd, S. (2017). CVXR: An R package for disciplined convex optimization. arXiv preprint arXiv:1711.07582. https://arxiv.org/abs/1711.07582\n",
        "\n",
        "> Sun, Q., & Boyd, S. (2018). Distributional robust Kelly gambling. arXiv preprint arXiv: 1812.10371. https://web.stanford.edu/~boyd/papers/pdf/robust_kelly.pdf\n",
        "\n",
        "The recent work by CH Hsieh extends these concepts in important ways for real-world implementation.\n",
        "\n",
        "> Hsieh, C. H. (2022). On Solving Robust Log-Optimal Portfolio: A Supporting Hyperplane Approximation Approach. arXiv preprint arXiv:2202.03858. https://arxiv.org/pdf/2202.03858\n"
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